Jing Gao

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

InterHG: an Interpretable and Accurate Model for Hypothesis Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Integrating Multimodal Electronic Health Records for Diagnosis Prediction.

[BibT_eX]

[DOI]

Rui Li

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Extracting Medical Knowledge from Crowdsourced Question Answering Website.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2020

Multi-source data repairing powered by integrity constraints and source reliability.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Adaptive Self-training for Few-shot Neural Sequence Labeling.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

CoRR, 2020

Decomposed Adversarial Learned Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Practical Data Poisoning Attack against Next-Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Rare Disease Prediction by Generating Quality-Assured Electronic Health Records.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Causal Inference Meets Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LP-Explain: Local Pictorial Explanation for Outliers.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Towards Differentially Private Truth Discovery for Crowd Sensing Systems.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning.

[BibT_eX]

[DOI]

Yaqing Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Weak Supervision for Fake News Detection via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Privacy-Preserving Truth Discovery in Crowd Sensing Systems.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, 2019

Towards Confidence Interval Estimation in Truth Discovery.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Incorporating medical code descriptions for diagnosis prediction in healthcare.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2019

PatternFinder: Pattern discovery for truth discovery.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

AutoRepair: an automatic repairing approach over multi-source data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Towards Data Poisoning Attack against Knowledge Graph Embedding.

[BibT_eX]

[DOI]

CoRR, 2019

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

DTEC: Distance Transformation Based Early Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Data Poisoning Attack against Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Estimation of Treatment Effect with Text Covariates.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Metric Learning on Healthcare Data with Incomplete Modalities.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Deep Hierarchical Knowledge Tracing.

[BibT_eX]

[DOI]

Tianqi Wang

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Educational Data Mining, 2019

IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Online Federated Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Towards Quality Aware Information Integration in Distributed Sensing Systems.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2018

Finding Similar Medical Questions from Question Answering Websites.

[BibT_eX]

[DOI]

CoRR, 2018

A deep learning approach for detecting traffic accidents from social media data.

[BibT_eX]

[DOI]

CoRR, 2018

Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

An Attention-based Recurrent Neural Networks Framework for Health Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Online Truth Discovery on Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Uncorrelated Patient Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Representation Learning for Treatment Effect Estimation from Observational Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Risk Prediction on Electronic Health Records with Prior Medical Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Leveraging the Power of Informative Users for Local Event Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2017

Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media.

[BibT_eX]

[DOI]

Ming Ni

Qing He

IEEE Trans. Intell. Transp. Syst., 2017

Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Correlated Topic Model Using Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Long-Term Memory Networks for Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Discovering Truths from Distributed Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Personalized disease prediction using a CNN-based similarity learning method.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

2016

Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Crowdsourcing High Quality Labels with a Tight Budget.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Truth Discovery Approach with Theoretical Guarantee.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Reliable Information from Passively and Actively Crowdsourced Data.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Sparse approximations of directed information graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Topic Discovery for Short Texts Using Word Embeddings.

[BibT_eX]

[DOI]

Guangxu Xun

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Multi-source Hierarchical Prediction Consolidation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Influence-Aware Truth Discovery.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Risk Factor Analysis Based on Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

Tracking Temporal Community Strength in Dynamic Networks.

[BibT_eX]

[DOI]

Xiaowei Jia

IEEE Trans. Knowl. Data Eng., 2015

A Survey on Truth Discovery.

[BibT_eX]

[DOI]

SIGKDD Explor., 2015

Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

Detecting Marionette Microblog Users for Improved Information Credibility.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2015

A Similarity-Based Concepts Mapping Method between Ontologies.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2015

Temporal Multi-View Inconsistency Detection for Network Traffic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Truth Discovery on Crowd Sensing of Correlated Entities.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Functional Node Detection on Linked Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

OnlineCM: Real-time Consensus Classification with Missing Values.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Modeling Truth Existence in Truth Discovery.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On the Discovery of Evolving Truth.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Multi-source Information Trustworthiness Analysis.

[BibT_eX]

[DOI]

Houping Xiao

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

DRN: Bringing Greedy Layer-Wise Training into Time Dimension.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks.

[BibT_eX]

[DOI]

Liang Ge

Xiaowei Jia

Kang Li

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Outlier Detection for Temporal Data

[BibT_eX]

[DOI]

Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01905-0, 2014

Outlier Detection for Temporal Data: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

On handling negative transfer and imbalanced distributions in multiple source transfer learning.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2014

A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Management of Data, 2014

Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A Deep Learning Approach to Link Prediction in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Generalized Decision Aggregation in Distributed Sensing Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE 35th IEEE Real-Time Systems Symposium, 2014

Class-distribution regularized consensus maximization for alleviating overfitting in model combination.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Top-K interesting subgraph discovery in information networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Analysis on Community Variational Trend in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Crowdsourcing for Multiple-Choice Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Data Classification: Algorithms and Applications, 2014

2013

Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Multi-View Clustering via Joint Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Community Distribution Outlier Detection in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Manish Gupta

Jiawei Han

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multi-source deep learning for information trustworthiness estimation.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multilabel Consensus Classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Learning, Analyzing and Predicting Object Roles on Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Progression Analysis of Community Strengths in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A multimodal framework for unsupervised feature fusion.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

OMS-TL: a framework of online multiple source transfer learning.

[BibT_eX]

[DOI]

Liang Ge

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

An Ensemble Model for Mobile Device based Arrhythmia Detection.

[BibT_eX]

[DOI]

Proceedings of the ACM Conference on Bioinformatics, 2013

On detecting association-based clique outliers in heterogeneous information networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE Real-Time Systems Symposium, 2012

Community Trend Outlier Detection Using Soft Temporal Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Integrating community matching and outlier detection for mining evolutionary community outliers.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

De-noise biological network from heterogeneous sources via link propagation.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

Evolutionary analysis of functional modules in dynamic PPI networks.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2012

Predicting future popularity trend of events in microblogging platforms.

[BibT_eX]

[DOI]

Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

2011

Exploring the power of heterogeneous information sources

[BibT_eX]

[DOI]

PhD thesis, 2011

Cloud-based malware detection for evolving data streams.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2011

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints.

[BibT_eX]

[DOI]

Bhavani M. Thuraisingham

IEEE Trans. Knowl. Data Eng., 2011

Facing the reality of data stream classification: coping with scarcity of labeled data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011

Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Detecting Recurring and Novel Classes in Concept-Drifting Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships.

[BibT_eX]

[DOI]

Wei Fan

Deepak S. Turaga

Srinivasan Parthasarathy

Jiawei Han

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graph Regularized Transductive Classification on Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Classification and Novel Class Detection in Data Streams with Active Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

On community outliers and their efficient detection in information networks.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Addressing Concept-Evolution in Concept-Drifting Data Streams.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams.

[BibT_eX]

[DOI]