Themis Palpanas

Orcid: 0000-0002-8031-0265

Affiliations:
  • Paris Descartes University, France
  • University of California, Riverside, USA (former)


According to our database1, Themis Palpanas authored at least 235 papers between 2000 and 2024.

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Bibliography

2024
DumpyOS: A data-adaptive multi-ary index for scalable data series similarity search.
VLDB J., November, 2024

Front Matter.
Proc. VLDB Endow., August, 2024

Time-Series Anomaly Detection: Overview and New Trends.
Proc. VLDB Endow., August, 2024

Efficiently Mitigating the Impact of Data Drift on Machine Learning Pipelines.
Proc. VLDB Endow., July, 2024

DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search.
Proc. VLDB Endow., May, 2024

GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution.
Inf. Syst., February, 2024

Streaming Data Collection With a Private Sketch-Based Protocol.
IEEE Internet Things J., 2024

User-friendly Foundation Model Adapters for Multivariate Time Series Classification.
CoRR, 2024

Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes.
CoRR, 2024

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.
CoRR, 2024

Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
CoRR, 2024

ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series.
CoRR, 2024

Scalable Vector Analytics: A Story of Twists and Turns.
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ADecimo: Model Selection for Time Series Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

An Interactive Dive into Time-Series Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Critical Re-evaluation of Record Linkage Benchmarks for Learning-Based Matching Algorithms.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
SEAnet: A Deep Learning Architecture for Data Series Similarity Search.
IEEE Trans. Knowl. Data Eng., December, 2023

ADF \u0026 TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series.
Proc. VLDB Endow., November, 2023

ProS: data series progressive k-NN similarity search and classification with probabilistic quality guarantees.
VLDB J., July, 2023

Efficient Range and kNN Twin Subsequence Search in Time Series.
IEEE Trans. Knowl. Data Eng., June, 2023

Correction to: Unsupervised and scalable subsequence anomaly detection in large data series.
VLDB J., March, 2023

Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series.
Proc. VLDB Endow., 2023

Odyssey: A Journey in the Land of Distributed Data Series Similarity Search.
Proc. VLDB Endow., 2023

Elpis: Graph-Based Similarity Search for Scalable Data Science.
Proc. VLDB Endow., 2023

Dumpy: A Compact and Adaptive Index for Large Data Series Collections.
Proc. ACM Manag. Data, 2023

Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2023

Graph- and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions.
IEEE Data Eng. Bull., 2023

A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma.
CoRR, 2023

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms.
CoRR, 2023

FreSh: A Lock-Free Data Series Index.
Proceedings of the 42nd International Symposium on Reliable Distributed Systems, 2023

A general approach to Supervised Meta-Blocking.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Appliance Detection Using Very Low-Frequency Smart Meter Time Series.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

New Trends in Time Series Anomaly Detection.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

PrivSketch: A Private Sketch-Based Frequency Estimation Protocol for Data Streams.
Proceedings of the Database and Expert Systems Applications, 2023

Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting.
Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023

2022
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection.
Proc. VLDB Endow., 2022

Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection.
Proc. VLDB Endow., 2022

SA-Q: Observing, Evaluating, and Enhancing the Quality of the Results of Sentiment Analysis Tools.
Proc. VLDB Endow., 2022

Generalized Supervised Meta-blocking.
Proc. VLDB Endow., 2022

Hercules Against Data Series Similarity Search.
Proc. VLDB Endow., 2022

Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection.
Proc. VLDB Endow., 2022

iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges.
Proc. VLDB Endow., 2022

Generalized Supervised Meta-blocking (technical report).
CoRR, 2022

dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Scalable Analytics on Large Sequence Collections.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021
The Four Generations of Entity Resolution
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01878-7, 2021

Fast data series indexing for in-memory data.
VLDB J., 2021

Unsupervised and scalable subsequence anomaly detection in large data series.
VLDB J., 2021

ParIS+: Data Series Indexing on Multi-Core Architectures.
IEEE Trans. Knowl. Data Eng., 2021

New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed.
Proc. VLDB Endow., 2021

SAND in Action: Subsequence Anomaly Detection for Streams.
Proc. VLDB Endow., 2021

SAND: Streaming Subsequence Anomaly Detection.
Proc. VLDB Endow., 2021

BestNeighbor: efficient evaluation of kNN queries on large time series databases.
Knowl. Inf. Syst., 2021

Using social media for sub-event detection during disasters.
J. Big Data, 2021

Reproducible experiments on Three-Dimensional Entity Resolution with JedAI.
Inf. Syst., 2021

Blocking and Filtering Techniques for Entity Resolution: A Survey.
ACM Comput. Surv., 2021

An Overview of End-to-End Entity Resolution for Big Data.
ACM Comput. Surv., 2021

Deep Learning Embeddings for Data Series Similarity Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SING: Sequence Indexing Using GPUs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

High-Dimensional Similarity Search for Scalable Data Science.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SentiQ: Une approche logique-probabiliste pour améliorer la qualité de l'analyse des sentiments.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Electricity Demand Activation Extraction: From Known to Unknown Signatures, Using Similarity Search.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Big Sequence Management: Scaling up and Out.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

Twin Subsequence Search in Time Series.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

Towards Building a Digital Twin of Complex System Using Causal Modelling.
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020
Scalable data series subsequence matching with ULISSE.
VLDB J., 2020

Massively Distributed Time Series Indexing and Querying.
IEEE Trans. Knowl. Data Eng., 2020

Quality of Sentiment Analysis Tools: The Reasons of Inconsistency.
Proc. VLDB Endow., 2020

GraphAn: Graph-based Subsequence Anomaly Detection.
Proc. VLDB Endow., 2020

Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series.
Proc. VLDB Endow., 2020

Three-dimensional Entity Resolution with JedAI.
Inf. Syst., 2020

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities.
Frontiers Big Data, 2020

Matrix profile goes MAD: variable-length motif and discord discovery in data series.
Data Min. Knowl. Discov., 2020

SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality.
CoRR, 2020

Graph-Query Suggestions for Knowledge Graph Exploration.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings.
Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

Data Series Progressive Similarity Search with Probabilistic Quality Guarantees.
Proceedings of the 2020 International Conference on Management of Data, 2020

MESSI: In-Memory Data Series Indexing.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Automated Anomaly Detection in Large Sequences.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

SAD: An Unsupervised System for Subsequence Anomaly Detection.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

JedAI<sup>3</sup> : beyond batch, blocking-based Entity Resolution.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Entity Resolution: Past, Present and Yet-to-Come.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
Coconut: sortable summarizations for scalable indexes over static and streaming data series.
VLDB J., 2019

Comparing Similarity Perception in Time Series Visualizations.
IEEE Trans. Vis. Comput. Graph., 2019

Schema-Agnostic Progressive Entity Resolution.
IEEE Trans. Knowl. Data Eng., 2019

Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI.
SIGMOD Rec., 2019

Report on the First and Second Interdisciplinary Time Series Analysis Workshop (ITISA).
SIGMOD Rec., 2019

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search.
Proc. VLDB Endow., 2019

Improving Classification Quality in Uncertain Graphs.
ACM J. Data Inf. Qual., 2019

Data Series Management (Dagstuhl Seminar 19282).
Dagstuhl Reports, 2019

End-to-End Entity Resolution for Big Data: A Survey.
CoRR, 2019

Schema-agnostic Progressive Entity Resolution (extended version).
CoRR, 2019

A Survey of Blocking and Filtering Techniques for Entity Resolution.
CoRR, 2019

Local Pair and Bundle Discovery over Co-Evolving Time Series.
Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

Exploring the Data Wilderness through Examples.
Proceedings of the 2019 International Conference on Management of Data, 2019

Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm.
Proceedings of the 2019 International Conference on Management of Data, 2019

Example-based Search: a New Frontier for Exploratory Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Distributed Algorithms to Find Similar Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Local Similarity Search on Geolocated Time Series Using Hybrid Indexing.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Progressive Similarity Search on Time Series Data.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

2018
Data Exploration Using Example-Based Methods
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01866-4, 2018

Rank-Join Indices.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Temporal Analytics in Social Media.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Generating data series query workloads.
VLDB J., 2018

The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data.
Proc. VLDB Endow., 2018

X2Q: Your Personal Example-based Graph Explorer.
Proc. VLDB Endow., 2018

Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach.
Proc. VLDB Endow., 2018

Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes.
Proc. VLDB Endow., 2018

The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art.
Proc. VLDB Endow., 2018

Progressive Data Science: Potential and Challenges.
CoRR, 2018

VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series.
Proceedings of the 2018 International Conference on Management of Data, 2018

Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series.
Proceedings of the 2018 International Conference on Management of Data, 2018

Data Series Management: Fulfilling the Need for Big Sequence Analytics.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Multi-Example Search in Rich Information Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

ULISSE: ULtra Compact Index for Variable-Length Similarity Search in Data Series.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

An Automated System for Internet Pharmacy Verification.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

ParIS: The Next Destination for Fast Data Series Indexing and Query Answering.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
New Trends on Exploratory Methods for Data Analytics.
Proc. VLDB Endow., 2017

Parallel meta-blocking for scaling entity resolution over big heterogeneous data.
Inf. Syst., 2017

On classifier behavior in the presence of mislabeling noise.
Data Min. Knowl. Discov., 2017

What do Geotagged Tweets Reveal About Mobility Behavior?
Proceedings of the Mobility Analytics for Spatio-Temporal and Social Data, 2017

Data Series Similarity Using Correlation-Aware Measures.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

The Parallel and Distributed Future of Data Series Mining.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

DPiSAX: Massively Distributed Partitioned iSAX.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

TweeLoc: A System for Geolocalizing Tweets at Fine-Grain.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-core Meta-blocking for Big Linked Data.
Proceedings of the 13th International Conference on Semantic Systems, 2017

JedAI: The Force Behind Entity Resolution.
Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017

Correlation-Aware Distance Measures for Data Series.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016
ADS: the adaptive data series index.
VLDB J., 2016

A holistic and principled approach for the empty-answer problem.
VLDB J., 2016

Exemplar queries: a new way of searching.
VLDB J., 2016

Managing Diverse Sentiments at Large Scale.
IEEE Trans. Knowl. Data Eng., 2016

Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets.
Soc. Netw. Anal. Min., 2016

Comparative Analysis of Approximate Blocking Techniques for Entity Resolution.
Proc. VLDB Endow., 2016

Linguistic rough sets.
Int. J. Mach. Learn. Cybern., 2016

Error-tolerant Exemplar Queries on RDF Graphs.
CoRR, 2016

Boosting the Efficiency of Large-Scale Entity Resolution with Enhanced Meta-Blocking.
Big Data Res., 2016

Big Sequence Management: A glimpse of the Past, the Present, and the Future.
Proceedings of the SOFSEM 2016: Theory and Practice of Computer Science, 2016

When a Tweet Finds its Place: Fine-Grained Tweet Geolocalisation.
Proceedings of the First Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases, 2016

Data series management: The next challenge.
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

Blocking for large-scale Entity Resolution: Challenges, algorithms, and practical examples.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Characterizing Home Device Usage From Wireless Traffic Time Series.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
Conditional heavy hitters: detecting interesting correlations in data streams.
VLDB J., 2015

Practical Data Prediction for Real-World Wireless Sensor Networks.
IEEE Trans. Knowl. Data Eng., 2015

Data Series Management: The Road to Big Sequence Analytics.
SIGMOD Rec., 2015

Report on the First International Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014).
SIGMOD Rec., 2015

RINSE: Interactive Data Series Exploration with ADS+.
Proc. VLDB Endow., 2015

Sliding windows over uncertain data streams.
Knowl. Inf. Syst., 2015

Query Workloads for Data Series Indexes.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Fine-Grained Geolocalisation of Non-Geotagged Tweets.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Meta-Blocking: Taking Entity Resolutionto the Next Level.
IEEE Trans. Knowl. Data Eng., 2014

Unleashing the Power of Information Graphs.
SIGMOD Rec., 2014

Exemplar Queries: Give me an Example of What You Need.
Proc. VLDB Endow., 2014

Top-k Nearest Neighbor Search In Uncertain Data Series.
Proc. VLDB Endow., 2014

Beyond one billion time series: indexing and mining very large time series collections with i SAX2+.
Knowl. Inf. Syst., 2014

Node classification in uncertain graphs.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Indexing for interactive exploration of big data series.
Proceedings of the International Conference on Management of Data, 2014

IQR: an interactive query relaxation system for the empty-answer problem.
Proceedings of the International Conference on Management of Data, 2014

Searching with XQ: the exemplar query search engine.
Proceedings of the International Conference on Management of Data, 2014

A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart City.
Proceedings of the Fifth Workshop on Semantics for Smarter Cities a Workshop at the 13th International Semantic Web Conference (ISWC 2014), 2014

Dynamics of news events and social media reaction.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A systematic approach for dynamic targeted monitoring of KPIs.
Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014

2013
A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces.
IEEE Trans. Knowl. Data Eng., 2013

Towards mega-modeling: a walk through data analysis experiences.
SIGMOD Rec., 2013

Front Matter.
Proc. VLDB Endow., 2013

A Probabilistic Optimization Framework for the Empty-Answer Problem.
Proc. VLDB Endow., 2013

Revisiting the effect of history on learning performance: the problem of the demanding lord.
Knowl. Inf. Syst., 2013

Entity ranking using click-log information.
Intell. Data Anal., 2013

Identifying streaming frequent items in ad hoc time windows.
Data Knowl. Eng., 2013

Efficient sentiment correlation for large-scale demographics.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Social Listening of City Scale Events Using the Streaming Linked Data Framework.
Proceedings of the Semantic Web - ISWC 2013, 2013

Finding interesting correlations with conditional heavy hitters.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Twindex Fuorisalone: Social Listening of Milano during Fuorisalone 2013.
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013

Monitoring and diagnosing indicators for business analytics.
Proceedings of the Center for Advanced Studies on Collaborative Research, 2013

New Trends in Databases and Information Systems: Contributions from ADBIS 2013.
Proceedings of the New Trends in Databases and Information Systems, 2013

Real-Time Data Analytics in Sensor Networks.
Proceedings of the Managing and Mining Sensor Data, 2013

2012
dbTrento: the data and information management group at the University of Trento.
SIGMOD Rec., 2012

Uncertain Time-Series Similarity: Return to the Basics.
Proc. VLDB Endow., 2012

Diverse dimension decomposition for itemset spaces.
Knowl. Inf. Syst., 2012

A knowledge mining framework for business analysts.
Data Base, 2012

Survey on mining subjective data on the web.
Data Min. Knowl. Discov., 2012

Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

CloudAlloc: a monitoring and reservation system for compute clusters.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Density-based Projected Clustering over High Dimensional Data Streams.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

What does model-driven data acquisition really achieve in wireless sensor networks?
Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications, 2012

SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Scalable Similarity Matching in Streaming Time Series.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Strategic Management for Real-Time Business Intelligence.
Proceedings of the Enabling Real-Time Business Intelligence - 6th International Workshop, 2012

2011
Efficient Top-k Approximate Subtree Matching in Small Memory.
IEEE Trans. Knowl. Data Eng., 2011

Decentralised social network management.
Int. J. Web Based Communities, 2011

To compare or not to compare: making entity resolution more efficient.
Proceedings of the International Workshop on Semantic Web Information Management, 2011

Eliminating the redundancy in blocking-based entity resolution methods.
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

Detecting and exploiting stability in evolving heterogeneous information spaces.
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

Towards a Framework for Detecting and Managing Opinion Contradictions.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Diverse Dimension Decomposition of an Itemset Space.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Similarity matching for uncertain time series: analytical and experimental comparison.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, 2011

2010
Scalable discovery of contradictions on the web.
Proceedings of the 19th International Conference on World Wide Web, 2010

The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord.
Proceedings of the ICDM 2010, 2010

iSAX 2.0: Indexing and Mining One Billion Time Series.
Proceedings of the ICDM 2010, 2010

The Entity Name System: Enabling the web of entities.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

TASM: Top-k Approximate Subtree Matching.
Proceedings of the 26th International Conference on Data Engineering, 2010

2009
Frequent items in streaming data: An experimental evaluation of the state-of-the-art.
Data Knowl. Eng., 2009

Towards a General Entity Representation Model.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

A Conceptual Model for a Web-Scale Entity Name System.
Proceedings of the Semantic Web, Fourth Asian Conference, 2009

2008
Streaming Time Series Summarization Using User-Defined Amnesic Functions.
IEEE Trans. Knowl. Data Eng., 2008

On space constrained set selection problems.
Data Knowl. Eng., 2008

Towards a General Entity Representation Model.
Proceedings of the 5th Workshop on Semantic Web Applications and Perspectives (SWAP2008), 2008

Efficiently Discovering Recent Frequent Items in Data Streams.
Proceedings of the Scientific and Statistical Database Management, 2008

Managing Data Quality in Business Intelligence Applications.
Proceedings of the International Workshop on Quality in Databases and Management of Uncertain Data, 2008

Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications.
Proceedings of the 13th International Conference on Information Quality, 2008

Entity Lifecycle Management for OKKAM.
Proceedings of the 1st IRSW2008 International Workshop on Identity and Reference on the Semantic Web, 2008

Entity Data Management in OKKAM.
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

Knowledge Mining for the Business Analyst.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2007
WhiteWater: Distributed Processing of Fast Streams.
IEEE Trans. Knowl. Data Eng., 2007

Integrated model-driven dashboard development.
Inf. Syst. Frontiers, 2007

Online Distribution Estimation for Streaming Data: Framework and Applications.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

2006
Online Outlier Detection in Sensor Data Using Non-Parametric Models.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks.
Proceedings of the 27th IEEE Real-Time Systems Symposium (RTSS 2006), 2006

Model-Driven Dashboards for Business Performance Reporting.
Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

Maximizing the sustained throughput of distributed continuous queries.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Using Datacube Aggregates for Approximate Querying and Deviation Detection.
IEEE Trans. Knowl. Data Eng., 2005

2004
Indexing Large Human-Motion Databases.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Online Amnesic Approximation of Streaming Time Series.
Proceedings of the 20th International Conference on Data Engineering, 2004

2003
Data reduction in data warehouses.
PhD thesis, 2003

Distributed deviation detection in sensor networks.
SIGMOD Rec., 2003

Space Constrained Selection Problems for Data Warehouses and Pervasive Computing.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003

Ranked Join Indices.
Proceedings of the 19th International Conference on Data Engineering, 2003

2002
Incremental Maintenance for Non-Distributive Aggregate Functions.
Proceedings of 28th International Conference on Very Large Data Bases, 2002

2001
Entropy Based Approximate Querying and Exploration of Datacubes.
Proceedings of the 13th International Conference on Scientific and Statistical Database Management, 2001

2000
Knowledge Discovery in Data Warehouses.
SIGMOD Rec., 2000


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