Christos Faloutsos

Orcid: 0000-0003-2996-9790

Affiliations:
  • Carnegie Mellon University, Pittsburgh, USA


According to our database1, Christos Faloutsos authored at least 703 papers between 1982 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2010, "For contributions to data mining, indexing, fractals, and power laws.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Flexible Forecasting Stack.
Proc. VLDB Endow., August, 2024

Correction to: TurboLift: fast accuracy lifting for historical data recovery.
VLDB J., January, 2024

Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.
Trans. Mach. Learn. Res., 2024

Hierarchical Compression of Text-Rich Graphs via Large Language Models.
CoRR, 2024

FeatNavigator: Automatic Feature Augmentation on Tabular Data.
CoRR, 2024

GraphStorm: all-in-one graph machine learning framework for industry applications.
CoRR, 2024

Evaluating Durability: Benchmark Insights into Multimodal Watermarking.
CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.
CoRR, 2024

Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition.
CoRR, 2024

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories.
CoRR, 2024

Automatic Question-Answer Generation for Long-Tail Knowledge.
CoRR, 2024

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.
CoRR, 2024

NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features.
Proceedings of the ACM on Web Conference 2024, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DiffFind: Discovering Differential Equations from Time Series.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

NETEFFECT: Discovery and Exploitation of Generalized Network Effects.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Machine Learning Meets Multi-Table Relational Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

NetInfoF Framework: Measuring and Exploiting Network Usable Information.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository?
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Revisit Orthogonality in Graph-Regularized MLPs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
<i>USNAP</i>: fast unique dense region detection and its application to lung cancer.
Bioinform., August, 2023

Benefit-aware early prediction of health outcomes on multivariate EEG time series.
J. Biomed. Informatics, March, 2023

DeltaShield: Information Theory for Human- Trafficking Detection.
ACM Trans. Knowl. Discov. Data, February, 2023

<i>DeepFixCX</i>: Explainable privacy-preserving image compression for medical image analysis.
WIREs Data. Mining. Knowl. Discov., 2023

ExplainFix: Explainable spatially fixed deep networks.
WIREs Data. Mining. Knowl. Discov., 2023

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking.
IEEE Trans. Vis. Comput. Graph., 2023

Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances.
Proc. VLDB Endow., 2023

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection.
CoRR, 2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.
CoRR, 2023

UltraProp: Principled and Explainable Propagation on Large Graphs.
CoRR, 2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Automatic Table Union Search with Tabular Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs.
World Wide Web, 2022

Real-Time Anomaly Detection in Edge Streams.
ACM Trans. Knowl. Discov. Data, 2022

Autonomous graph mining algorithm search with best performance trade-off.
Knowl. Inf. Syst., 2022

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success.
CoRR, 2022

AutoGML: Fast Automatic Model Selection for Graph Machine Learning.
CoRR, 2022

ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases.
CoRR, 2022

CGC: Contrastive Graph Clustering for Community Detection and Tracking.
CoRR, 2022

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Coarse-to-Fine Sparse Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.
Proceedings of the Learning on Graphs Conference, 2022

Nimble GNN Embedding with Tensor-Train Decomposition.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks.
Proceedings of the IEEE International Conference on Big Data, 2022

TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs.
Proceedings of the IEEE International Conference on Big Data, 2022

HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams.
ACM Trans. Knowl. Discov. Data, 2021

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.
Future Gener. Comput. Syst., 2021

gen2Out: Detecting and Ranking Generalized Anomalies.
CoRR, 2021

EX3: Explainable Attribute-aware Item-set Recommendations.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DiffXtract: Joint Discriminative Product Attribute-Value Extraction.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Gen<sup>2</sup>Out: Detecting and Ranking Generalized Anomalies.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
TurboLift: fast accuracy lifting for historical data recovery.
VLDB J., 2020

Temporal locality-aware sampling for accurate triangle counting in real graph streams.
VLDB J., 2020

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams.
ACM Trans. Knowl. Discov. Data, 2020

Fast and Effective Distribution-Key Recommendation for Amazon Redshift.
Proc. VLDB Endow., 2020

Fast and memory-efficient algorithms for high-order Tucker decomposition.
Knowl. Inf. Syst., 2020

Dynamic Graph-Based Anomaly Detection in the Electrical Grid.
CoRR, 2020

Real-Time Streaming Anomaly Detection in Dynamic Graphs.
CoRR, 2020

Collective Multi-type Entity Alignment Between Knowledge Graphs.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Forecasting Big Time Series: Theory and Practice.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Higher-Order Label Homogeneity and Spreading in Graphs.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

AutoBlock: A Hands-off Blocking Framework for Entity Matching.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

TRIAGE: Temporal Twitter attribute graph patterns.
Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Provably Robust Node Classification via Low-Pass Message Passing.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

J-Recs: Principled and Scalable Recommendation Justification.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

P-Companion: A Principled Framework for Diversified Complementary Product Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

AutoAudit: Mining Accounting and Time-Evolving Graphs.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

TellTail: Fast Scoring and Detection of Dense Subgraphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Midas: Microcluster-Based Detector of Anomalies in Edge Streams.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Contrast Metric for Fraud Detection in Rich Graphs.
IEEE Trans. Knowl. Data Eng., 2019

Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data.
IEEE Trans. Knowl. Data Eng., 2019

Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1).
ACM Trans. Knowl. Discov. Data, 2019

WebHound: a data-driven intrusion detection from real-world web access logs.
Soft Comput., 2019

TensorCast: forecasting and mining with coupled tensors.
Knowl. Inf. Syst., 2019

Impact of Load Models on Power Flow Optimization.
CoRR, 2019

Classical and Contemporary Approaches to Big Time Series Forecasting.
Proceedings of the 2019 International Conference on Management of Data, 2019

SMF: Drift-Aware Matrix Factorization with Seasonal Patterns.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Branch and Border: Partition-Based Change Detection in Multivariate Time Series.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Intervention-Aware Early Warning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Fraud Detection Using Social Network Analysis: A Case Study.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

On Power Law Growth of Social Networks.
IEEE Trans. Knowl. Data Eng., 2018

Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining.
ACM Trans. Knowl. Discov. Data, 2018

Forecasting Big Time Series: Old and New.
Proc. VLDB Endow., 2018

HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data.
Proc. VLDB Endow., 2018

Patterns and anomalies in k-cores of real-world graphs with applications.
Knowl. Inf. Syst., 2018

DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams.
CoRR, 2018

Out-of-Core and Distributed Algorithms for Dense Subtensor Mining.
CoRR, 2018

REV2: Fraudulent User Prediction in Rating Platforms.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Did We Get It Right? Predicting Query Performance in e-Commerce Search.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

StreamCast: Fast and Online Mining of Power Grid Time Sequences.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

ONE-M: Modeling the Co-evolution of Opinions and Network Connections.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Beyond Outlier Detection: LookOut for Pictorial Explanation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Social-Affiliation Networks: Patterns and the SOAR Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

SDREGION: Fast Spotting of Changing Communities in Biological Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SpotLight: Detecting Anomalies in Streaming Graphs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TensorCast: Forecasting Time-Evolving Networks with Contextual Information.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

SedanSpot: Detecting Anomalies in Edge Streams.
Proceedings of the IEEE International Conference on Data Mining, 2018

Ares: Automatic Disaggregation of Historical Data.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Disk-based Matrix Completion for Memory Limited Devices.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Individual and Collective Graph Mining: Principles, Algorithms, and Applications
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01911-1, 2017

Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities.
World Wide Web, 2017

Nonlinear Dynamics of Information Diffusion in Social Networks.
ACM Trans. Web, 2017

Tensor Decomposition for Signal Processing and Machine Learning.
IEEE Trans. Signal Process., 2017

Robust Data-Driven State Estimation for Smart Grid.
IEEE Trans. Smart Grid, 2017

comeNgo: A Dynamic Model for Social Group Evolution.
ACM Trans. Knowl. Discov. Data, 2017

Graph-Based Fraud Detection in the Face of Camouflage.
ACM Trans. Knowl. Discov. Data, 2017

Modeling Temporal Activity to Detect Anomalous Behavior in Social Media.
ACM Trans. Knowl. Discov. Data, 2017

Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms.
ACM Trans. Intell. Syst. Technol., 2017

Facebook wall posts: a model of user behaviors.
Soc. Netw. Anal. Min., 2017

ZooBP: Belief Propagation for Heterogeneous Networks.
Proc. VLDB Endow., 2017

DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data.
J. Inf. Sci. Eng., 2017

Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors.
IEICE Trans. Inf. Syst., 2017

On Summarizing Large-Scale Dynamic Graphs.
IEEE Data Eng. Bull., 2017

EagleMine: Vision-Guided Mining in Large Graphs.
CoRR, 2017

LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector.
CoRR, 2017

Structural patterns of information cascades and their implications for dynamics and semantics.
CoRR, 2017

OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection.
CoRR, 2017

FairJudge: Trustworthy User Prediction in Rating Platforms.
CoRR, 2017

Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm.
CoRR, 2017

Quantifying Structural Patterns of Information Cascades.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization.
Proceedings of the 26th International Conference on World Wide Web, 2017

On Detecting Frauds in Comparison-Shopping Services.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

D-Cube: Dense-Block Detection in Terabyte-Scale Tensors.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

S-HOT: Scalable High-Order Tucker Decomposition.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

H-Fuse: Efficient Fusion of Aggregated Historical Data.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

PowerCast: Mining and Forecasting Power Grid Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

zooRank: Ranking Suspicious Entities in Time-Evolving Tensors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

BeatLex: Summarizing and Forecasting Time Series with Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe).
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

PNP: Fast Path Ensemble Method for Movie Design.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Linear load model for robust power system analysis.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

The Many Faces of Link Fraud.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award).
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Skew-Resistant Graph Partitioning.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

HoloScope: Topology-and-Spike Aware Fraud Detection.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Mining billion-scale tensors: algorithms and discoveries.
VLDB J., 2016

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

Node Immunization on Large Graphs: Theory and Algorithms.
IEEE Trans. Knowl. Data Eng., 2016

DeltaCon: Principled Massive-Graph Similarity Function with Attribution.
ACM Trans. Knowl. Discov. Data, 2016

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach.
ACM Trans. Knowl. Discov. Data, 2016

Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning.
ACM Trans. Knowl. Discov. Data, 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.
ACM Trans. Knowl. Discov. Data, 2016

Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.
Stat. Anal. Data Min., 2016

Inferring lockstep behavior from connectivity pattern in large graphs.
Knowl. Inf. Syst., 2016

Discovery of "comet" communities in temporal and labeled graphs Com<sup>^2</sup>.
Knowl. Inf. Syst., 2016

Suspicious Behavior Detection: Current Trends and Future Directions.
IEEE Intell. Syst., 2016

M3A: Model, MetaModel, and Anomaly Detection in Web Searches.
CoRR, 2016

Unsupervised Tensor Mining for Big Data Practitioners.
Big Data, 2016

Mining Big Time-series Data on the Web.
Proceedings of the 25th International Conference on World Wide Web, 2016

Non-Linear Mining of Competing Local Activities.
Proceedings of the 25th International Conference on World Wide Web, 2016

TribeFlow: Mining & Predicting User Trajectories.
Proceedings of the 25th International Conference on World Wide Web, 2016

CAMLP: Confidence-Aware Modulated Label Propagation.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

FastStep: Scalable Boolean Matrix Decomposition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

"Infect-me-not": A user-centric and site-centric study of web-based malware.
Proceedings of the 2016 IFIP Networking Conference, 2016

Come-and-Go Patterns of Group Evolution: A Dynamic Model.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Online Music Listening Trajectories.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Edge Weight Prediction in Weighted Signed Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Monitoring Manhattan's traffic at 5 intersections?
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

NimbleCore: A space-efficient external memory algorithm for estimating core numbers.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Adaptive, Automatic Stream Mining.
Proceedings of the Data Stream Management - Processing High-Speed Data Streams, 2016

2015
ParCube: Sparse Parallelizable CANDECOMP-PARAFAC Tensor Decomposition.
ACM Trans. Knowl. Discov. Data, 2015

Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times.
ACM Trans. Knowl. Discov. Data, 2015

Summarizing and understanding large graphs.
Stat. Anal. Data Min., 2015

Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool.
Proc. VLDB Endow., 2015

Linearized and Single-Pass Belief Propagation.
Proc. VLDB Endow., 2015

Estimating robustness in large social graphs.
Knowl. Inf. Syst., 2015

An analysis on information diffusion through BlogCast in a blogosphere.
Inf. Sci., 2015

MassExodus: modeling evolving networks in harsh environments.
Data Min. Knowl. Discov., 2015

Why Do You Follow Him?: Multilinear Analysis on Twitter.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities.
Proceedings of the 24th International Conference on World Wide Web, 2015

Extracting Taxonomies from Bipartite Graphs.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Modeling Website Popularity Competition in the Attention-Activity Marketplace.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Mining and Forecasting of Big Time-series Data.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Principled Neuro-Functional Connectivity Discovery.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

SocNL: Bayesian Label Propagation with Confidence.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Retweeting Activity on Twitter: Signs of Deception.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

ND-Sync: Detecting Synchronized Fraud Activities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

TimeCrunch: Interpretable Dynamic Graph Summarization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

RSC: Mining and Modeling Temporal Activity in Social Media.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Graph-Based User Behavior Modeling: From Prediction to Fraud Detection.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Patterns in Interactive Tagging Networks.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Automatic Taxonomy Extraction from Bipartite Graphs.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Education, Learning and Information Theory.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

HaTen2: Billion-scale tensor decompositions.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Fast efficient and scalable Core Consistency Diagnostic for the parafac decomposition for big sparse tensors.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Translation Invariant Word Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Fraud Detection through Graph-Based User Behavior Modeling.
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

Location based Social Network analysis using Tensors and Signal Processing tools.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Scalable community discovery from multi-faceted graphs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

If walls could talk: Patterns and anomalies in Facebook wallposts.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
SlashBurn: Graph Compression and Mining beyond Caveman Communities.
IEEE Trans. Knowl. Data Eng., 2014

HEigen: Spectral Analysis for Billion-Scale Graphs.
IEEE Trans. Knowl. Data Eng., 2014

On Constructing Seminal Paper Genealogy.
IEEE Trans. Cybern., 2014

Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition.
IEEE Signal Process. Mag., 2014

SharkFin: Spatio-temporal mining of software adoption and penetration.
Soc. Netw. Anal. Min., 2014

Efficiently spotting the starting points of an epidemic in a large graph.
Knowl. Inf. Syst., 2014

Accurate Approximation of the Earth Mover's Distance in Linear Time.
J. Comput. Sci. Technol., 2014

QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases.
Inf. Sci., 2014

Linearized and Turbo Belief Propagation.
CoRR, 2014

Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments.
Big Data, 2014

Spotting misbehaviors in location-based social networks using tensors.
Proceedings of the 23rd International World Wide Web Conference, 2014

Detecting suspicious following behavior in multimillion-node social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Trust prediction using positive, implicit, and negative information.
Proceedings of the 23rd International World Wide Web Conference, 2014

Robust multivariate autoregression for anomaly detection in dynamic product ratings.
Proceedings of the 23rd International World Wide Web Conference, 2014

Large graph mining: patterns, cascades, fraud detection, and algorithms.
Proceedings of the 23rd International World Wide Web Conference, 2014

CoBaFi: collaborative bayesian filtering.
Proceedings of the 23rd International World Wide Web Conference, 2014

Data-driven topology estimation.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

AutoPlait: automatic mining of co-evolving time sequences.
Proceedings of the International Conference on Management of Data, 2014

Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

VOG: Summarizing and Understanding Large Graphs.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

PowerScope: Early Event Detection and Identification in Electric Power Systems.
Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Interestingness-Driven Diffusion Process Summarization in Dynamic Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Beyond Blocks: Hyperbolic Community Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

MalSpot: Multi2 Malicious Network Behavior Patterns Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Influence Propagation: Patterns, Model and a Case Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Fault-Tolerant Concept Detection in Information Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Net-Ray: Visualizing and Mining Billion-Scale Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Inferring Strange Behavior from Connectivity Pattern in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Com2: Fast Automatic Discovery of Temporal ('Comet') Communities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

FUNNEL: automatic mining of spatially coevolving epidemics.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

CatchSync: catching synchronized behavior in large directed graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

VoidWiz: Resolving incompleteness using network effects.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP).
Proceedings of the IEEE International Conference on Acoustics, 2014

Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries.
Proceedings of the Large-Scale Data Analytics, 2014

2013
Large Graph Analysis in the GMine System.
IEEE Trans. Knowl. Data Eng., 2013

Halite: Fast and Scalable Multiresolution Local-Correlation Clustering.
IEEE Trans. Knowl. Data Eng., 2013

Competing Memes Propagation on Networks: A Network Science Perspective.
IEEE J. Sel. Areas Commun., 2013

Large Scale Tensor Decompositions: Algorithmic Developments and Applications.
IEEE Data Eng. Bull., 2013

Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization
CoRR, 2013

Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG.
Comput. Math. Methods Medicine, 2013

The self-feeding process: a unifying model for communication dynamics in the web.
Proceedings of the 22nd International World Wide Web Conference, 2013

Fast anomaly detection despite the duplicates.
Proceedings of the 22nd International World Wide Web Conference, 2013

CopyCatch: stopping group attacks by spotting lockstep behavior in social networks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Anomaly, event, and fraud detection in large network datasets.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

DELTACON: A Principled Massive-Graph Similarity Function.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Mining Connection Pathways for Marked Nodes in Large Graphs.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Fractional Immunization in Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

F-Trail: Finding Patterns in Taxi Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

EEG-MINE: Mining and Understanding Epilepsy Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Smartphone viruses propagation on heterogeneous composite networks.
Proceedings of the 2nd IEEE Network Science Workshop, 2013


Why people hate your app: making sense of user feedback in a mobile app store.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Opinion Fraud Detection in Online Reviews by Network Effects.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Mixed Membership Subspace Clustering.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013


MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases.
Proceedings of the Sound, Music, and Motion - 10th International Symposium, 2013

Spatio-temporal mining of software adoption & penetration.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Analysis of the reputation system and user contributions on a question answering website: StackOverflow.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Network similarity via multiple social theories.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

TSum: fast, principled table summarization.
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising, 2013

Dimensionality Reduction and Filtering on Time Series Sensor Streams.
Proceedings of the Managing and Mining Sensor Data, 2013

Data Mining in Large Sets of Complex Data.
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-4889-0, 2013

2012
Graph Mining: Laws, Tools, and Case Studies
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01903-6, 2012

gbase: an efficient analysis platform for large graphs.
VLDB J., 2012

Forecasting in the NBA and other team sports: Network effects in action.
ACM Trans. Knowl. Discov. Data, 2012

Big graph mining: algorithms and discoveries.
SIGKDD Explor., 2012

Understanding and Managing Cascades on Large Graphs.
Proc. VLDB Endow., 2012

V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors.
Proc. VLDB Endow., 2012

Threshold conditions for arbitrary cascade models on arbitrary networks.
Knowl. Inf. Syst., 2012

An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection.
J. Inf. Sci. Eng., 2012

Gateway finder in large graphs: problem definitions and fast solutions.
Inf. Retr., 2012

MultiAspectForensics: mining large heterogeneous networks using tensor.
Int. J. Web Eng. Technol., 2012

Top-10 Data Mining Case Studies.
Int. J. Inf. Technol. Decis. Mak., 2012

NetSimile: A Scalable Approach to Size-Independent Network Similarity
CoRR, 2012

Competing memes propagation on networks: a case study of composite networks.
Comput. Commun. Rev., 2012

Winner takes all: competing viruses or ideas on fair-play networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

SigSpot: mining significant anomalous regions from time-evolving networks (abstract only).
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Managing and mining large graphs: patterns and algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

OPAvion: mining and visualization in large graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

ParCube: Sparse Parallelizable Tensor Decompositions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

TensorSplat: Spotting Latent Anomalies in Time.
Proceedings of the 16th Panhellenic Conference on Informatics, PCI 2012, 2012

Quantifying Reciprocity in Large Weighted Communication Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

RainMon: an integrated approach to mining bursty timeseries monitoring data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Rise and fall patterns of information diffusion: model and implications.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast mining and forecasting of complex time-stamped events.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

RolX: structural role extraction & mining in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

TourViz: interactive visualization of connection pathways in large graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Interacting viruses in networks: can both survive?
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Spotting Culprits in Epidemics: How Many and Which Ones?
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Pegasus: Mining billion-scale graphs in the cloud.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Gelling, and melting, large graphs by edge manipulation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Top-N recommendation through belief propagation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Fast and reliable anomaly detection in categorical data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
HADI: Mining Radii of Large Graphs.
ACM Trans. Knowl. Discov. Data, 2011

Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation.
Soc. Netw. Anal. Min., 2011

TWave: High-order analysis of functional MRI.
NeuroImage, 2011

PEGASUS: mining peta-scale graphs.
Knowl. Inf. Syst., 2011

Outlier detection by example.
J. Intell. Inf. Syst., 2011

Recommending People in Developers' Collaboration Network.
Proceedings of the 18th Working Conference on Reverse Engineering, 2011

BlogCast effect on information diffusion in a blogosphere.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

WindMine: Fast and Effective Mining of Web-click Sequences.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Human Dynamics in Large Communication Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Large Scale Graph Mining and Inference for Malware Detection.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point.
Proceedings of the NETWORKING 2011, 2011

ThermoCast: a cyber-physical forecasting model for datacenters.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

GBASE: a scalable and general graph management system.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

It's who you know: graph mining using recursive structural features.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Clustering very large multi-dimensional datasets with MapReduce.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Apolo: interactive large graph sensemaking by combining machine learning and visualization.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Mobile Phone Graph Evolution: Findings, Model and Interpretation.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Mining large graphs: Algorithms, inference, and discoveries.
Proceedings of the 27th International Conference on Data Engineering, 2011

Spectral analysis of a blogosphere.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

A linear-time approximation of the earth mover's distance.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Apolo: making sense of large network data by combining rich user interaction and machine learning.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Statistical Properties of Social Networks.
Proceedings of the Social Network Data Analytics, 2011

Fundamental Questions in the Analysis of Large Graphs.
Proceedings of the Graph Algorithms in the Language of Linear Algebra, 2011

Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs.
Proceedings of the Graph Data Management: Techniques and Applications., 2011

2010
Graph Mining: Laws and Generators.
Proceedings of the Managing and Mining Graph Data, 2010

Fast Discovery of Group Lag Correlations in Streams.
ACM Trans. Knowl. Discov. Data, 2010

Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data.
ACM Trans. Knowl. Discov. Data, 2010

Parsimonious Linear Fingerprinting for Time Series.
Proc. VLDB Endow., 2010

Kronecker Graphs: An Approach to Modeling Networks.
J. Mach. Learn. Res., 2010

Fast feature selection using fractal dimension.
J. Inf. Data Manag., 2010

Fast Feature Selection using Fractal Dimension - Ten Years Later.
J. Inf. Data Manag., 2010

Time series analysis with multiple resolutions.
Inf. Syst., 2010

Efficient Parallel Learning of Hidden Markov Chain Models on SMPs.
IEICE Trans. Inf. Syst., 2010

SPEX<sup>2</sup>: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.
Bioinform., 2010

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.
Proceedings of the SIAM International Conference on Data Mining, 2010

HCDF: A Hybrid Community Discovery Framework.
Proceedings of the SIAM International Conference on Data Mining, 2010

BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling.
Proceedings of the 2010 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2010

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Surprising Patterns for the Call Duration Distribution of Mobile Phone Users.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

SBAD: Sequence Based Attack Detection via Sequence Comparison.
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

Analysis of Large Multi-modal Social Networks: Patterns and a Generator.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

BASSET: Scalable Gateway Finder in Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

TWave: High-Order Analysis of Spatiotemporal Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

oddball: Spotting Anomalies in Weighted Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Metric forensics: a multi-level approach for mining volatile graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

High-order concept discovery in functional brain imaging.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

On the Vulnerability of Large Graphs.
Proceedings of the ICDM 2010, 2010

EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs.
Proceedings of the ICDMW 2010, 2010

Patterns on the Connected Components of Terabyte-Scale Graphs.
Proceedings of the ICDM 2010, 2010

Mining Billion-node Graphs: Patterns, Generators and Tools.
Proceedings of the ICDM 2010, 2010

QMAS: Querying, Mining and Summarization of Multi-modal Databases.
Proceedings of the ICDM 2010, 2010

ValuePick: Towards a Value-Oriented Dual-Goal Recommender System.
Proceedings of the ICDMW 2010, 2010

Fast algorithms for time series mining.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Finding Clusters in subspaces of very large, multi-dimensional datasets.
Proceedings of the 26th International Conference on Data Engineering, 2010

The Typhoon Track Classification using Tri-plots and Markov Chain.
Proceedings of the KDIR 2010, 2010

Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

Community Evolution and Change Point Detection in Time-Evolving Graphs.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
Direction-Aware Proximity on Graphs.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

RTG: a recursive realistic graph generator using random typing.
Data Min. Knowl. Discov., 2009

Click chain model in web search.
Proceedings of the 18th International Conference on World Wide Web, 2009

Tailoring click models to user goals.
Proceedings of the 2009 workshop on Web Search Click Data, 2009

ShatterPlots: Fast Tools for Mining Large Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

DOULION: counting triangles in massive graphs with a coin.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

BGP-lens: patterns and anomalies in internet routing updates.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

TANGENT: a novel, 'Surprise me', recommendation algorithm.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

SNARE: a link analytic system for graph labeling and risk detection.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

BBM: bayesian browsing model from petabyte-scale data.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

DynaMMo: mining and summarization of coevolving sequences with missing values.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Large human communication networks: patterns and a utility-driven generator.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Modeling Blog Dynamics.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs.
Proceedings of the ICDM Workshops 2009, 2009

PEGASUS: A Peta-Scale Graph Mining System.
Proceedings of the ICDM 2009, 2009

Graph Mining: Patterns, Generators and Tools.
Proceedings of the Combinatorial Pattern Matching, 20th Annual Symposium, 2009

iPoG: fast interactive proximity querying on graphs.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

NetCube.
Proceedings of the Database Technologies: Concepts, 2009

NetCube.
Proceedings of the Selected Readings on Database Technologies and Applications., 2009

2008
Incremental tensor analysis: Theory and applications.
ACM Trans. Knowl. Discov. Data, 2008

Epidemic thresholds in real networks.
ACM Trans. Inf. Syst. Secur., 2008

Bayesian Tensor Approach for 3-D Face Modeling.
IEEE Trans. Circuits Syst. Video Technol., 2008

Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs.
Stat. Anal. Data Min., 2008

Less is More: Sparse Graph Mining with Compact Matrix Decomposition.
Stat. Anal. Data Min., 2008

C-DEM: a multi-modal query system for Drosophila Embryo databases.
Proc. VLDB Endow., 2008

Random walk with restart: fast solutions and applications.
Knowl. Inf. Syst., 2008

Two heads better than one: pattern discovery in time-evolving multi-aspect data.
Data Min. Knowl. Discov., 2008

Outlier-robust clustering using independent components.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Proximity Tracking on Time-Evolving Bipartite Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2008

Efficient Distribution Mining and Classification.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-Supervised Learning Based on Semiparametric Regularization.
Proceedings of the SIAM International Conference on Data Mining, 2008

Hierarchical, Parameter-Free Community Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Unsupervised modeling and recognition of object categories with combination of visual contents and geometric similarity links.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Colibri: fast mining of large static and dynamic graphs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Mobile call graphs: beyond power-law and lognormal distributions.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Weighted graphs and disconnected components: patterns and a generator.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Social networks: looking ahead.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Using ghost edges for classification in sparsely labeled networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Protein complex identification by supervised graph local clustering.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

Graph mining: laws, generators and tools.
Proceedings of the 8th ACM SIGCOMM Internet Measurement Conference, 2008

Bayesian tensor analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

GRAPHITE: A Visual Query System for Large Graphs.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Monitoring Network Evolution using MDL.
Proceedings of the 24th International Conference on Data Engineering, 2008

Compact Similarity Joins.
Proceedings of the 24th International Conference on Data Engineering, 2008

Toward a Comprehensive Model in Internet Auction Fraud Detection.
Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

Using Utility to Provision Storage Systems.
Proceedings of the 6th USENIX Conference on File and Storage Technologies, 2008

FMDistance: A Fast and Effective Distance Function for Motion Capture Data.
Proceedings of the 29th Annual Conference of the European Association for Computer Graphics, 2008

Laziness is a Virtue: Motion Stitching Using Effort Minimization.
Proceedings of the 29th Annual Conference of the European Association for Computer Graphics, 2008

Unsupervised modeling of object categories using link analysis techniques.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Fast mining of complex time-stamped events.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

A novel optimization approach to efficiently process aggregate similarity queries in metric access methods.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Graph mining and influence propagation.
Proceedings of the 2nd ACM Workshop on Information Credibility on the Web, 2008

2007
Dimensionality Reduction and Forecasting on Streams.
Proceedings of the Data Streams - Models and Algorithms, 2007

The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient.
VLDB J., 2007

TKDE Guidelines for Survey Papers.
IEEE Trans. Knowl. Data Eng., 2007

Graph evolution: Densification and shrinking diameters.
ACM Trans. Knowl. Discov. Data, 2007

RIC: Parameter-free noise-robust clustering.
ACM Trans. Knowl. Discov. Data, 2007

Visualization of large networks with min-cut plots, A-plots and R-MAT.
Int. J. Hum. Comput. Stud., 2007

A fast and effective method to find correlations among attributes in databases.
Data Min. Knowl. Discov., 2007

On data mining, compression, and Kolmogorov complexity.
Data Min. Knowl. Discov., 2007

Netprobe: a fast and scalable system for fraud detection in online auction networks.
Proceedings of the 16th International Conference on World Wide Web, 2007

Parallel crawling for online social networks.
Proceedings of the 16th International Conference on World Wide Web, 2007

Boosting k-Nearest Neighbor Queries Estimating Suitable Query Radii.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

Mining large graphs and streams using matrix and tensor tools.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Database techniques with motion capture.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007

Less is More: Compact Matrix Decomposition for Large Sparse Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Patterns of Cascading Behavior in Large Blog Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Fast direction-aware proximity for graph mining.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Fast best-effort pattern matching in large attributed graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

GraphScope: parameter-free mining of large time-evolving graphs.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Cost-effective outbreak detection in networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Enhanced max margin learning on multimodal data mining in a multimedia database.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Information Survival Threshold in Sensor and P2P Networks.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Finding patterns in blog shapes and blog evolution.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Scalable modeling of real graphs using Kronecker multiplication.
Proceedings of the Machine Learning, 2007

A Max Margin Framework on Image Annotation and Multimodal Image Retrieval.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Stream Monitoring under the Time Warping Distance.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
InteMon: continuous mining of sensor data in large-scale self-infrastructures.
ACM SIGOPS Oper. Syst. Rev., 2006

Efficient Discovery of Unusual Patterns in Time Series .
New Gener. Comput., 2006

Example-Based Outlier Detection for High Dimensional Datasets.
Inf. Media Technol., 2006

Spatial Query Estimation without the Local Uniformity Assumption.
GeoInformatica, 2006

Graph mining: Laws, generators, and algorithms.
ACM Comput. Surv., 2006

GMine: A System for Scalable, Interactive Graph Visualization and Mining.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

InteMon: Intelligent System Monitoring on Large Clusters.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Data Mining Using Fractals and Power Laws.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Evaluating the intrinsic dimension of evolving data streams.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Detecting Fraudulent Personalities in Networks of Online Auctioneers.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

An Adaptive Two-Phase Approach to WiFi Location Sensing.
Proceedings of the 4th IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2006 Workshops), 2006

Distributed Pattern Discovery in Multiple Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Center-piece subgraphs: problem definition and fast solutions.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Beyond streams and graphs: dynamic tensor analysis.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Automatic mining of fruit fly embryo images.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Sampling from large graphs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Robust information-theoretic clustering.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

SuperGraph Visualization.
Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006

Fast Random Walk with Restart and Its Applications.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Intelligent system monitoring on large clusters.
Proceedings of the 3rd Workshop on Data Management for Sensor Networks, 2006

Efficient processing of complex similarity queries in RDBMS through query rewriting.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Editorial: TKDE Topic Area Revisions.
IEEE Trans. Knowl. Data Eng., 2005

Relevance search and anomaly detection in bipartite graphs.
SIGKDD Explor., 2005

Fast estimation of fractal dimension and correlation integral on stream data.
Inf. Process. Lett., 2005

A Comparative Study of Feature Vector-Based Topic Detection Schemes A Comparative Study of Feature Vector-Based Topic Detection Schemes.
Proceedings of the 2005 International Workshop on Challenges in Web Information Retrieval and Integration (WIRI 2005), 2005

Streaming Pattern Discovery in Multiple Time-Series.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

BRAID: Stream Mining through Group Lag Correlations.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Research issues in protein location image databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Mining Time Series Data.
Proceedings of the 20° Simpósio Brasileiro de Bancos de Dados, 2005

FTW: fast similarity search under the time warping distance.
Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Graphs over time: densification laws, shrinking diameters and possible explanations.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Example-Based Robust Outlier Detection in High Dimensional Datasets.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Neighborhood Formation and Anomaly Detection in Bipartite Graphs.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Parameter-Free Spatial Data Mining Using MDL.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

ViVo: Visual Vocabulary Construction for Mining Biomedical Images.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Online Latent Variable Detection in Sensor Networks.
Proceedings of the 21st International Conference on Data Engineering, 2005

AutoLag: Automatic Discovery of Lag Correlations in Stream Data.
Proceedings of the 21st International Conference on Data Engineering, 2005

A Multiresolution Symbolic Representation of Time Series.
Proceedings of the 21st International Conference on Data Engineering, 2005

On Multidimensional Data and Modern Disks.
Proceedings of the FAST '05 Conference on File and Storage Technologies, 2005

2004
Adaptive, unsupervised stream mining.
VLDB J., 2004

Fractal dimension and vector quantization.
Inf. Process. Lett., 2004

Auditing Compliance with a Hippocratic Database.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Prediction and Indexing of Moving Objects with Unknown Motion Patterns.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Indexing and Mining Streams.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Automated Assistance for Eliciting User Expectations.
Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2004), 2004

R-MAT: A Recursive Model for Graph Mining.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

OBE: Outlier by Example.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Storage Device Performance Prediction with CART Models.
Proceedings of the 12th International Workshop on Modeling, 2004

Automatic multimedia cross-modal correlation discovery.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Fast discovery of connection subgraphs.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Fully automatic cross-associations.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Recovering latent time-series from their observed sums: network tomography with particle filters.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Automatic image captioning.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

MMSS: Multi-Modal Story-Oriented Video Summarization.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Approximate Temporal Aggregation.
Proceedings of the 20th International Conference on Data Engineering, 2004

Segmenting Motion Capture Data into Distinct Behaviors.
Proceedings of the Graphics Interface 2004 Conference, 2004

Relation between Fractal Dimension and Performance of Vector Quantization.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

GCap: Graph-Based Automatic Image Captioning.
Proceedings of the Proceedings MDDE '04, 2004

2003
Power laws and the AS-level internet topology.
IEEE/ACM Trans. Netw., 2003

An environmental sensor network to determine drinking water quality and security.
SIGMOD Rec., 2003

Adaptive, Hands-Off Stream Mining.
Proceedings of 29th International Conference on Very Large Data Bases, 2003

Cross-Outlier Detection.
Proceedings of the Advances in Spatial and Temporal Databases, 8th International Symposium, 2003

Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint.
Proceedings of the 22nd Symposium on Reliable Distributed Systems (SRDS 2003), 2003

Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Electricity Based External Similarity of Categorical Attributes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

LOCI: Fast Outlier Detection Using the Local Correlation Integral.
Proceedings of the 19th International Conference on Data Engineering, 2003

The power-method: a comprehensive estimation technique for multi-dimensional queries.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
Fast Indexing and Visualization of Metric Data Sets using Slim-Trees.
IEEE Trans. Knowl. Data Eng., 2002

ImageMap: An Image Indexing Method Based on Spatial Similarity.
IEEE Trans. Knowl. Data Eng., 2002

KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches.
SIGKDD Explor., 2002

Capturing the spatio-temporal behavior of real traffic data.
Perform. Evaluation, 2002

Fundamentals of Scheduling and Performance of Video Tape Libraries.
Multim. Tools Appl., 2002

Data-driven evolution of data mining algorithms.
Commun. ACM, 2002

Sensor Data Mining: Similarity Search and Pattern Analysis.
Proceedings of 28th International Conference on Very Large Data Bases, 2002

Making every bit count: fast nonlinear axis scaling.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

ANF: a fast and scalable tool for data mining in massive graphs.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Data Visualization in RDBMS.
Proceedings of the Information Systems and Databases (ISDB 2002), 2002

Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic.
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

VideoCube: A Novel Tool for Video Mining and Classification.
Proceedings of the Digital Libraries: People, 2002

FastCARS: fast, correlation-aware sampling for network data mining.
Proceedings of the Global Telecommunications Conference, 2002

Indexing Values in Continuous Field Databases.
Proceedings of the Advances in Database Technology, 2002

How to improve the pruning ability of dynamic metric access methods.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

"GeoPlot": spatial data mining on video libraries.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

Future directions in data mining: streams, networks, self-similarity and power laws.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

F4: large-scale automated forecasting using fractals.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Accurate Modeling of Region Data.
IEEE Trans. Knowl. Data Eng., 2001

Analysis of the Clustering Properties of the Hilbert Space-Filling Curve.
IEEE Trans. Knowl. Data Eng., 2001

On the 'Dimensionality Curse' and the 'Self-Similarity Blessing'.
IEEE Trans. Knowl. Data Eng., 2001

Multimedia Queries by Example and Relevance Feedback.
IEEE Data Eng. Bull., 2001

Active Disks for Large-Scale Data Processing.
Computer, 2001

Identifying Web Browsing Trends and Patterns.
Computer, 2001

NetCube: A Scalable Tool for Fast Data Mining and Compression.
Proceedings of the VLDB 2001, 2001

Tri-plots: scalable tools for multidimensional data mining.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

The "DGX" distribution for mining massive, skewed data.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

VideoGraph: a new tool for video mining and classification.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

Similarity Search without Tears: The OMNI Family of All-purpose Access Methods.
Proceedings of the 17th International Conference on Data Engineering, 2001

2000
Quantifiable Data Mining Using Ratio Rules.
VLDB J., 2000

Analysis of Range Queries and Self-Spatial Join Queries on Real Region Datasets Stored Using an R-Tree.
IEEE Trans. Knowl. Data Eng., 2000

Reminiscences on Influential Papers.
SIGMOD Rec., 2000

Fast Time Sequence Indexing for Arbitrary Lp Norms.
Proceedings of the VLDB 2000, 2000

FALCON: Feedback Adaptive Loop for Content-Based Retrieval.
Proceedings of the VLDB 2000, 2000

Searching, Data Mining and Visualization of Multimedia Data.
Proceedings of the Advances in Visual Information Management, 2000

Data Mining on an OLTP System (Nearly) for Free.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Density Biased Sampling: An Improved Method for Data Mining and Clustering.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Spatial Join Selectivity Using Power Laws.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Online Data Mining for Co-Evolving Time Sequences.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Deflating the Dimensionality Curse Using Multiple Fractal Dimensions.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes.
Proceedings of the Advances in Database Technology, 2000

1999
Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field.
AI Mag., 1999

On Power-law Relationships of the Internet Topology.
Proceedings of the ACM SIGCOMM 1999 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, August 30, 1999

Informed Prefetching of Collective Input/Output Requests.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

I/O Complexity for Range Queries on Region Data Stored Using an R-tree.
Proceedings of the 15th International Conference on Data Engineering, 1999

1998
Self-Spacial Join Selectivity Estimation Using Fractal Concepts.
ACM Trans. Inf. Syst., 1998

Designing Access Methods for Bitemporal Databases.
IEEE Trans. Knowl. Data Eng., 1998

Fast and Effective Retrieval of Medical Tumor Shapes.
IEEE Trans. Knowl. Data Eng., 1998

Overlay Striping and Optimal Parallel I/O for Modern Applications.
Parallel Comput., 1998

Active Storage for Large-Scale Data Mining and Multimedia.
Proceedings of the VLDB'98, 1998

Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining.
Proceedings of the VLDB'98, 1998

MindReader: Querying Databases Through Multiple Examples.
Proceedings of the VLDB'98, 1998

Developing High-Level Representations of Video Clips using VideoTrails.
Proceedings of the Storage and Retrieval for Image and Video Databases VI, 1998

Efficient Retrieval of Similar Time Sequences Under Time Warping.
Proceedings of the Fourteenth International Conference on Data Engineering, 1998

Image Indexing and Retrieval Based on Human Perceptual Color Clustering.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

Selectivity Estimation of Window Queries.
Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, 1998

1997
Similarity Searching in Medical Image Databases.
IEEE Trans. Knowl. Data Eng., 1997

Analysis of the n-Dimensional Quadtree Decomposition for Arbitrary Hyperectangles.
IEEE Trans. Knowl. Data Eng., 1997

Relaxing the Uniformity and Independence Assumptions Using the Concept of Fractal Dimension.
J. Comput. Syst. Sci., 1997

The New Jersey Data Reduction Report.
IEEE Data Eng. Bull., 1997

Multidimensional Access Methods: Trees Have Grown Everywhere.
Proceedings of the VLDB'97, 1997

Recovering Information from Summary Data.
Proceedings of the VLDB'97, 1997

Compressed-Domain Video Indexing Techniques Using DCT and Motion Vector Information in MPEG Video.
Proceedings of the Storage and Retrieval for Image and Video Databases V, 1997

Multimedia Indexing over the Web.
Proceedings of the Storage and Retrieval for Image and Video Databases V, 1997

Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences.
Proceedings of the SIGMOD 1997, 1997

A signature technique for similarity-based queries.
Proceedings of the Compression and Complexity of SEQUENCES 1997, 1997

<i>VideoTrails</i>: Representing and Visualizing Structure in Video Sequences.
Proceedings of the Fifth ACM International Conference on Multimedia '97, 1997

Indexing of Multimedia Data.
Proceedings of the Multimedia Databases in Perspective, 1997

Advanced Database Systems.
Morgan Kaufmann, ISBN: 1-55860-443-X, 1997

1996
Searching Multimedia Databases by Content.
Advances in Database Systems 3, Kluwer, ISBN: 978-0-7923-9777-9, 1996

Experimenting with Pattern-Matching Algorithms.
Inf. Sci., 1996

Fast Nearest Neighbor Search in Medical Image Databases.
Proceedings of the VLDB'96, 1996

Modeling Skewed Distribution Using Multifractals and the '80-20' Law.
Proceedings of the VLDB'96, 1996

Analysis of n-Dimensional Quadtrees using the Hausdorff Fractal Dimension
Proceedings of the VLDB'96, 1996

Declustering Spatial Databases on a Multi-Computer Architecture.
Proceedings of the Advances in Database Technology, 1996

Design and Implementation of QBISM, a 3D Medical Image Database System.
Proceedings of the Multimedia Database System: Issues and Research Direction, 1996

1995
Flexible and Adaptable Buffer Management Techniques for Database Management Systems.
IEEE Trans. Computers, 1995

Fast Searching by Content in Multimedia Databases.
IEEE Data Eng. Bull., 1995

Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension.
Proceedings of the VLDB'95, 1995

Access Methods for Bi-Temporal Databases
Proceedings of the Recent Advances in Temporal Databases, 1995

FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets.
Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, 1995

Indexing Multimedia Databases (Tutorial).
Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, 1995

1994
The TV-Tree: An Index Structure for High-Dimensional Data
VLDB J., 1994

Efficient and Effective Querying by Image Content.
J. Intell. Inf. Syst., 1994

Hilbert R-tree: An Improved R-tree using Fractals.
Proceedings of the VLDB'94, 1994

Fast Subsequence Matching in Time-Series Databases.
Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, 1994

Quest: A Project on Database Mining.
Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, 1994

Beyond Uniformity and Independence: Analysis of R-trees Using the Concept of Fractal Dimension.
Proceedings of the Thirteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1994

QBISM: Extending a DBMS to Support 3D Medical Images.
Proceedings of the Tenth International Conference on Data Engineering, 1994

Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture.
Proceedings of the Advances in Database Technology, 1994

1993
High Performance R-trees.
IEEE Data Eng. Bull., 1993

QBISM: A Prototype 3-D Medical Image Database System.
IEEE Data Eng. Bull., 1993

The QBIC Project: Querying Images by Content, Using Color, Texture, and Shape.
Proceedings of the Storage and Retrieval for Image and Video Databases, 1993

Declustering Using Fractals.
Proceedings of the 2nd International Conference on Parallel and Distributed Information Systems (PDIS 1993), 1993

Efficient Similarity Search In Sequence Databases.
Proceedings of the Foundations of Data Organization and Algorithms, 1993

On Packing R-trees.
Proceedings of the CIKM 93, 1993

1992
Frame-Sliced Signature Files.
IEEE Trans. Knowl. Data Eng., 1992

Analytical results on the quadtree decomposition of arbitrary rectangles.
Pattern Recognit. Lett., 1992

On B-Tree Indices for Skewed Distributions.
Proceedings of the 18th International Conference on Very Large Data Bases, 1992

Parallel R-trees.
Proceedings of the 1992 ACM SIGMOD International Conference on Management of Data, 1992

Hybrid Index Organizations for Text Databases.
Proceedings of the Advances in Database Technology, 1992

Signature Files.
Proceedings of the Information Retrieval: Data Structures & Algorithms, 1992

1991
An Architecture for High Performance Engineering Information Systems.
IEEE Trans. Software Eng., 1991

Disk Allocation Methods Using Error Correcting Codes.
IEEE Trans. Computers, 1991

Predictive Load Control for Flexible Buffer Allocation.
Proceedings of the 17th International Conference on Very Large Data Bases, 1991

Flexible Buffer Allocation Based on Marginal Gains.
Proceedings of the 1991 ACM SIGMOD International Conference on Management of Data, 1991

DOT: A Spatial Access Method Using Fractals.
Proceedings of the Seventh International Conference on Data Engineering, 1991

1990
Incorporating String Search in a Hypertext System: User Interface and Signature File Design Issues.
Hypermedia, 1990

Signature-Based Text Retrieval Methods: A Survey.
IEEE Data Eng. Bull., 1990

Analysis for the End of Block Wasted Space.
BIT, 1990

1989
Tri-cell-a data structure for spatial objects.
Inf. Syst., 1989

Performance Issues in the Binary Relationship Model.
Data Knowl. Eng., 1989

Fractals for Secondary Key Retrieval.
Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

Declustering Using Error Correcting Codes.
Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

1988
An Efficient Pictorial Database System for PSQL.
IEEE Trans. Software Eng., 1988

Gray Codes for Partial Match and Range Queries.
IEEE Trans. Software Eng., 1988

Expert Database Systems: Efficient Support for Engineering Environments.
Data Knowl. Eng., 1988

Signature Files: An Integrated Access Method for Text and Attributes, Sluitable for Optical Disk Storage.
BIT, 1988

Fast Text Access Methods for Optical and Large Magnetic Disks: Designs and Performance Comparison.
Proceedings of the Fourteenth International Conference on Very Large Data Bases, August 29, 1988

1987
Signature files: an access method for textual messages.
PhD thesis, 1987

Description and Performance Analysis of Signature File Methods for Office Filing.
ACM Trans. Inf. Syst., 1987

Optimal Signature Extraction and Information Loss.
ACM Trans. Database Syst., 1987

The R+-Tree: A Dynamic Index for Multi-Dimensional Objects.
Proceedings of the VLDB'87, 1987

Analysis of Object Oriented Spatial Access Methods.
Proceedings of the Association for Computing Machinery Special Interest Group on Management of Data 1987 Annual Conference, 1987

1986
Design and Performance Considerations for an Optical Disk-Based Multimedia Object Server.
Computer, 1986

Multiattribute Hashing Using Gray Codes.
Proceedings of the 1986 ACM SIGMOD International Conference on Management of Data, 1986

1985
Access Methods for Text.
ACM Comput. Surv., 1985

Design of a Signature File Method that Accounts for Non-Uniform Occurrence and Query Frequencies.
Proceedings of the VLDB'85, 1985

Signature files: Design and Performance Comparison of Some Signature Extraction Methods.
Proceedings of the 1985 ACM SIGMOD International Conference on Management of Data, 1985

1984
Design Considerations for a Message File Server.
IEEE Trans. Software Eng., 1984

Signature Files: An Access Method for Documents and Its Analytical Performance Evaluation.
ACM Trans. Inf. Syst., 1984

1983
A Multimedia Office Filing System.
Proceedings of the 9th International Conference on Very Large Data Bases, October 31, 1983

1982
Performance Considerations in Message Files.
Proceedings of the Eigth International Computer Measurement Group Conference, 1982


  Loading...