Themis Palpanas, home page

Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko. Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting. In International Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.
(PDF)
Romain Ilbert, Malik Tiomoko, Cosme Louart, Vasilii Feofanov, Themis Palpanas, Ievgen Redko. Enhancing Multivariate Time Series Forecasting via Multi-Task Learning and Random Matrix Theory. In International Workshop on Time Series in the Age of Large Models (TSALM), in conjunction with the conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.
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Adrien Petralia (supervised by Philippe Charpentier and Themis Palpanas). Time Series Analytics for Electricity Consumption Data. Very Large Data Bases (VLDB) PhD Workshop, Guangzhou, China, August 2024.
(PDF)
Ilias Azizi (supervised by Karima Echihabi and Themis Palpanas). Vector Search on Billion-Scale Data Collections. Very Large Data Bases (VLDB) PhD Workshop, Guangzhou, China, August 2024.
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Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Vimaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko. SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. In International Conference on Machine Learning (ICML), Vienna, Austria, July 2024.
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George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas. A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms. In IEEE International Conference on Data Engineering (ICDE), Utrecht, Netherlands, May 2024.
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Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos Trahanias, Themis Palpanas. ADecimo: Model Selection for Time Series Anomaly Detection. In IEEE International Conference on Data Engineering (ICDE), Utrecht, Netherlands, May 2024. BEST RUNNER-UP DEMO
(PDF, supporting material-code, supporting material-demo)
Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas. Breaking Boundaries: Balanced Performance and Robustness of Deep Forecasting Models for Wireless Traffic Prediction. Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks (ARTMAN), in conjunction with the ACM Conference on Computer and Communications Security (CCS), Copenhagen Denmark, November 2023.
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Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, George Paterakis. FreSh: A Lock-Free Data Series Index. International Symposium on Reliable Distributed Systems (SRDS), Marrakech, Morocco, September 2023.
(PDF, PPTX, supporting material)
Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, George Paterakis. FreSh: A Lock-Free Data Series Index [poster]. Summit on Gender Equality on Computing (GEC), Athens, Greece, June 2023.
(PDF)
Ying Li, Xiaodong Lee, Botao Peng, Themis Palpanas, Jingan Xue. PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams. Database and Expert Systems Applications (DEXA, Penang (Malaysia), August 2023.
(PDF, supporting material)
Hanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, Themis Palpanas, Chen Wang, Wei Wang, Haoxuan Zhou, Jianwei Song, Wen Lu. Towards a Generic Framework for Mechanism-Guided Deep Learning for Manufacturing Applications. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Long Beach CA (USA), August 2023.
(PDF, supporting material)
Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas. Appliance Detection Using Very Low-Frequency Smart Meter Time Series. ACM International Conference on Future Energy Systems (e-Energy), Orlando, FL (USA), June 2023.
(PDF, supporting material)
Zhuxian Guo, Qitong Wang, Henning Muller, Themis Palpanas, Nicolas Lomenie, Camille Kurtz. A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma. IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena de Indias, Colombia, April 2023.
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Qitong Wang (supervised by: Themis Palpanas). Data Series Similarity Search via Deep Learning. Very Large Data Bases (VLDB) PhD Workshop, Sydney, Australia, September 2022.
(PDF, supporting material, supporting material 2)
Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas. Distributed Query Answering for Large Data Series Collections. Summit on Gender Equality on Computing (GEC), Thessaloniki, Greece, June 2022.
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Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, Manolis Papadospiridakis. DRESS: Scalable Multi-Node Data Series Indexing. Summit on Gender Equality on Computing (GEC), Thessaloniki, Greece, June 2022.
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Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas. dCAM: Dimension-wise Activation Map for Explaining Multivariate Data Series Classification. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Philadelphia, PA, USA, June 2022.
(PDF, supporting material)
Luka Jakovljevic, Dimitre Kostadinov, Armen Aghasaryan, Themis Palpanas. Towards Building a Digital Twin of Complex System using Causal Modelling. International Conference on Complex Networks and their Applications (COMPLEX NETWORKS), Madrid, Spain, November 2021.
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Qitong Wang, Themis Palpanas. Deep Learning Embeddings for Data Series Similarity Search. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), virtual conference, August 2021.
(PDF, supporting material, supporting material 2)
Pauline Laviron, Xueqi Dai, Berenice Huquet, Themis Palpanas. Electricity Demand Activation Extraction: From Known to Uknown Signatures, Using Similarity Search. ACM International Conference on Future Energy Systems (e-Energy), Torino, Italy, June 2021.
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Botao Peng, Panagiota Fatourou, Themis Palpanas. SING: Sequence [a.k.a. time series, or data series] Indexing Using GPUs. IEEE International Conference on Data Engineering (ICDE), Chania, Greece, 2021.
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Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos. Twin Subsequence Search in Time Series [a.k.a. data series, or sequences]. International Conference on Extending Database Technology (EDBT), Nicosia, Cyprus, March 2021.
(PDF, poster, 30sec pitch, 10min presentation)
Paul Boniol (supervised by Themis Palpanas, Mohammed Meftah, Emmanuel Remy). Unsupervised Subsequence Anomaly Detection in Large Sequences. Very Large Data Bases (VLDB) PhD Workshop, Tokyo, Japan, August 2020.
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Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor. SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality. Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), in conjunction with the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, USA, August 2020.
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Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas. Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings. International Conference on Web Intelligence, Mining and Semantics (WIMS), Biarritz, France, June 2020.
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Anna Gogolou, Theophanis Tsandilas, Karima Echihabi, Anastasia Bezerianos, Themis Palpanas. Data Series [a.k.a. time series, or sequences] Progressive Similarity Search with Probabilistic Quality Guarantees. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Portland, OR, USA, June 2020.
(PDF, supporting material)
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis. Graph-Query Suggestions for Knowledge Graph Exploration. In the Web Conference (WebConf), Taipei, Taiwan, April 2020.
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Botao Peng (supervised by Panagiota Fatourou, Themis Palpanas). Data Series [a.k.a. time series, or sequences] Indexing Gone Parallel. IEEE International Conference on Data Engineering (ICDE) PhD Workshop, Dallas, TX, USA, April 2020.
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Botao Peng, Panagiota Fatourou, Themis Palpanas. MESSI: In-Memory Data Series [a.k.a. time series, or sequences] Indexing. IEEE International Conference on Data Engineering (ICDE), Dallas, TX, USA, April 2020.
(PDF, supporting material)
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas. Automated Anomaly Detection in Large Sequences. IEEE International Conference on Data Engineering (ICDE), Dallas, TX, USA, April 2020.
(PDF, supporting material))
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas. SAD: An Unsupervised System for Subsequence Anomaly Detection. IEEE International Conference on Data Engineering (ICDE), Dallas, TX, USA, April 2020.
(PDF, supporting material)
George Papadakis, Leonidas Tsekouras, Manos Thanos, Nikiforos Pittaras, Giovanni Simonini, Dimitrios Skoutas, Paul Isaris, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis. JedAI³: Beyond Batch, Blocking-Based Entity Resolution. International Conference on Extending Database Technology (EDBT), Copenhagen, Denmark, March 2020.
(PDF, supporting material)
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos. Local Similarity Search on Geolocated Time Series [a.k.a. data series, or sequences] Using Hybrid Indexing. International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), Chicago, IL, USA, November 2019.
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Oleksandra Levchenko, Boyan Kolev, Djamel-Edine Yagoubi, Dennis Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia. Distributed Algorithms to Find Similar Time Series [a.k.a. data series, or sequences]. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Wurzburg, Germany, September 2019.
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Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos. Local Pair and Bundle Discovery over Co-Evolving Time Series [a.k.a. data series, or sequences]. International Symposium on Spatial and Temporal Databases (SSTD), Vienna, Austria, August 2019.
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Karima Echihabi (supervised by Themis Palpanas and Houda Benbrahim). Truly Scalable Data Series [a.k.a. time series, or sequences] Similarity Search. Very Large Data Bases (VLDB) PhD Workshop, Los Angeles, CA, USA, August 2019.
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Michele Linardi (supervised by Themis Palpanas). Effective and Efficient Variable-Length Data Series [a.k.a. time series, or sequences] Analytics. Very Large Data Bases (VLDB) PhD Workshop, Los Angeles, CA, USA, August 2019.
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Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas. Coconut Palm: Static and Streaming Data Series [a.k.a. time series, or sequences] Exploration Now in your Palm. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Amsterdam, Netherlands, July 2019.
(PDF, supporting material, video)
Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos. Progressive Similarity Search on Time Series Data [a.k.a. data series, or sequences]. International Workshop on Big Data Visual Exploration and Analytics (BigVis), in conjunction with the International Conference on Extending Database Technology (EDBT), Lisbon, Portugal, March 2019.
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Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas. T-Store: Tunable Storage for Large Sequential Data [a.k.a. data series, or time series]. North East Database Day (NEDB), Boston, MA, USA, January 2019.
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Botao Peng, Panagiota Fatourou, Themis Palpanas. ParIS: The Next Destination for Fast Data Series [a.k.a. time series, or sequences] Indexing and Query Answering. IEEE Big Data (IEEE BigData), Seattle, WA, USA, 2018.
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Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos. Comparing Similarity Perception in Time Series [a.k.a. data series, or sequences] Visualizations. IEEE Visual Analytics Science and Technology, Information Visualization, and Scientific Visualization (VIS), Berlin, Germany, 2018.
(PDF, supporting material)
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn Keogh. Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series [a.k.a. time series, or sequences]. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Houston, TX, USA, June 2018.
(PDF, supporting material)
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn Keogh. VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series [a.k.a. time series, or sequences]. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Houston, TX, USA, June 2018.
(PDF, supporting material)
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis. Multi-Example Search in Rich Information Graphs. IEEE International Conference on Data Engineering (ICDE), Paris, France, April 2018.
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Giovanni Simonini, George Papadakis, Themis Palpanas, Sonia Bergamaschi. Schema-agnostic Progressive Entity Resolution. IEEE International Conference on Data Engineering (ICDE), Paris, France, April 2018.
(PDF, supporting material)
Michele Linardi, Themis Palpanas. ULISSE: ULtra compact Index for Variable-Length Similarity SEarch in Data Series [a.k.a. time series, or sequences]. IEEE International Conference on Data Engineering (ICDE), Paris, France, April 2018.
(PDF, supporting material)
Kostas Zoumpatianos, Themis Palpanas. Data Series [a.k.a. time series, or sequences] Management: Fulfilling the Need for Big Sequence Analytics. IEEE International Conference on Data Engineering (ICDE), Paris, France, April 2018.
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Alberto Cordioli, Themis Palpanas. An Automated System for Internet Pharmacy Verification. International Conference on Extending Database Technology (EDBT), Vienna, Austria, March 2018.
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Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas. TweeLoc: A System for Geolocalizing Tweets at Fine-Grain. International Conference on Data Mining (ICDM), New Orleans, LA, USA, November 2017.
(PDF, supporting material)
Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas. DPiSAX: Massively Distributed Partitioned iSAX. International Conference on Data Mining (ICDM), New Orleans, LA, USA, November 2017.
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George Papadakis, Konstantina Bereta, Themis Palpanas, Manolis Koubarakis. Multi-Core Meta-Blocking for Big Linked Data. International Conference on Semantic Systems (SEMANTiCS), Amsterdam, Netherlands, September 2017.
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Pavlos Paraskevopoulos, Themis Palpanas. What do Geotagged Tweets Reveal about Mobility Behavior? International Workshop on Mobility Analytics for Spatio-Temporal and Social Data (MATES), in conjunction with the International Conference on Very Large Data Bases (VLDB), Munich, Germany, August 2017.
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Themis Palpanas. The Parallel and Distributed Future of Data Series [a.k.a. time series, or sequences] Mining. International Workshop on Parallel and Distributed Data Mining (WPDM), in conjunction with the International Conference on High Performance Computing and Simulation (HPCS), Genova, Italy, July 2017. [Invited Paper]
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Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas. Data Series [a.k.a. time series, or sequences] Similarity Using Correlation-Aware Measures. International Conference on Scientific and Statistical Database Management (SSDBM), Chicago, IL, USA, June 2017.
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George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis. JedAI: The Force Behind Entity Resolution. European Semantic Web Conference (ESWC), Portoroz, Slovenia, May 2017.
(PDF, supporting material)
Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas. Correlation-Aware Distance Measures for Data Series [a.k.a. time series, or sequences]. International Conference on Extending Database Technology (EDBT), Venice, Italy, March 2017.
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Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas. When a Tweet Finds its Place: Fine-Grained Tweet Geolocalisation. International Workshop on Data Science for Social Good (SoGood), in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD), Riva Del Garda, Italy, September 2016.
(PDF, supporting material)
Novri Suhermi, Judit Gervain, Themis Palpanas. Time Series Analysis for Near-Infrared Spectroscopy Data. International Conference on Functional Near-Infrared Spectroscopy, Paris, France, October 2016.
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Themis Palpanas. Data Series [a.k.a. time series, or sequences] Management: The Next Challenge. PhD Symposium, in conjunction with the IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, May 2016. [Invited Paper]
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George Papadakis, George Papastefanatos, Themis Palpanas, Manolis Koubarakis. Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking. International Conference on Extending Database Technology (EDBT), Bordeaux, France, March 2016.
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Katsiaryna Mirylenka, Vassilis Christophides, Themis Palpanas, Ioannis Pefkianakis, Martin May. Characterizing Home Device Usage From Wireless Traffic Time Series. International Conference on Extending Database Technology (EDBT), Bordeaux, France, March 2016.
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Vasilis Efthymiou, George Papadakis, George Papastefanatos, Kostas Stefanidis, Themis Palpanas. Parallel Meta-Blocking: Realizing Scalable Entity Resolution over Large, Heterogeneous Data. IEEE International Conference on Big Data (IEEE BigData), Santa Clara, CA, USA, October 2015.
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Pavlos Paraskevopoulos, Themis Palpanas. Fine-Grained Geolocalisation of Non-Geotagged Tweets. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, France, August 2015.
(PDF, supporting material)
Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke. Query Workloads for Data-Series [a.k.a. time series, or sequences] Indexes. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Sydney, Australia, August 2015.
(PDF, supporting material)
Alejandro Mate, Kostas Zoumpatianos, Themis Palpanas, Juan Trujillo, John Mylopoulos, Elvis Koci. A Systematic Approach for Dynamic Targeted Monitoring of KPIs. International Centre for Advanced Studies Research Conference (CASCON), Toronto, Canada, November 2014.
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Marco Balduini, Stefano Bocconi, Alessandro Bozzon, Emanuele Della Valle,Yi Huang, Jasper Oosterman, Themis Palpanas, Mikalai Tsytsarau. A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart City. Workshop on Semantics for Smarter Cities (S4SC), in conjunction with the International Semantic Web Conference (ISWC), Riva del Garda, Italy, October 2014.
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Mikalai Tsytsarau, Themis Palpanas. NIA: System for News Impact Analytics. Interactive Data Exploration and Analytics (IDEA), in conjunction with ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), New York, NY, USA, August 2014.
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Mikalai Tsytsarau, Themis Palpanas, Malu Castellanos. Dynamics of News Events and Social Media Reaction. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), New York, NY, USA, August 2014.
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Michele Dallachiesa, Charu Aggarwal, Themis Palpanas. Node Classification in Uncertain Graphs. International Conference on Scientific and Statistical Database Management (SSDBM), Aalborg, Denmark, June 2014.
(PDF, supporting material)
Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas. Indexing for Interactive Exploration of Big Data Series [a.k.a. time series, or sequences]. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Snowbird, UT, USA, June 2014.
(PDF, supporting material)
Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas. Searching with XQ: the eXemplar Query Search Engine. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Snowbird, UT, USA, June 2014.
(PDF, supporting material)
Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis. IQR: An Interactive Query Relaxation System for the Empty-Answer Problem. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), Snowbird, UT, USA, June 2014.
(PDF, supporting material)
Konstantinos Zoumpatianos, Themis Palpanas, John Mylopoulos, Alejandro Mate, Juan Trujillo. Monitoring and Diagnosing Indicators for Business Analytics. International Centre for Advanced Studies Research Conference (CASCON), Toronto, Canada, November 2013.
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Marco Balduini, Emanuele Della Valle, Daniele Dell'Aglio, Mikalai Tsytsarau, Themis Palpanas, Cristian Confalonieri. Social listening of City Scale Events using the Streaming Linked Data Framework. International Semantic Web Conference (ISWC), Sydney, Australia, October 2013.
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Mikalai Tsytsarau, Sihem Amer-Yahia, Themis Palpanas. Efficient Sentiment Correlation for Large-Scale Demographics. ACM SIG International conference on Management of Data / Principles of Database Systems (SIGMOD/PODS), New York, NY, USA, June 2013.
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Marco Balduini, Emanuele Della Valle, and Daniele Dell'Aglio, Mikalai Tsytsarau, Themis Palpanas, Cristian Confalonieri. Twindex Fuorisalone: Social listening of Milano during Fuorisalone 2013. AI Mashup Challenge, in conjunction with European Semantic Wed Conference (ESWC), Montpellier, France, May 2013.
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Pavlos Paraskevopoulos, Tanh-Cong Dinh, Zolzaya Dashdorj, Themis Palpanas, Luciano Serafini. Identification and Characterization of Human Behavior Patterns from Mobile Phone Data. International Conference on the Analysis of Mobile Phone Datasets (NetMob), Special Session on the Data for Development (D4D) Challenge, Cambridge, MA, USA, May 2013.
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Katsiaryna Mirylenka, Alice Marascu, Themis Palpanas, Matthias Fehr, Stefan Jank, Gunter Welde, Daniel Groeber. Envelope-Based Anomaly Detection for High-Speed Manufacturing Processes. European Advanced Process Control and Manufacturing Conference (APC|M), Dresden, Germany, April 2013.
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Katsiaryna Mirylenka, Themis Palpanas, Graham Cormode, Divesh Srivastava. Finding Interesting Correlations with Conditional Heavy Hitters. IEEE International Conference on Data Engineering (ICDE), Brisbane, Australia, April 2013.
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Konstantinos Zoumpatianos, Themis Palpanas, John Mylopoulos. Strategic Management for Real-Time Business Intelligence. International Workshop on Business Intelligence for the Real Time Enterprise (BIRTE), in conjunction with the International Conference on Very Large Data Bases (VLDB), Istanbul, Turkey, August 2012.
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Enrico Iori, Alkis Simitsis, Themis Palpanas, Kevin Wilkinson, Stavros Harizopoulos. CloudAlloc: A Monitoring and Reservation System for Compute Clusters. ACM SIGMOD International Conference on Management of Data (SIGMOD), Scottsdale, AZ, USA, May 2012.
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Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kroger, Hans-Peter Kriegel. Density-based Projected Clustering over High Dimensional Data Streams. SIAM International Conference on Data Mining (SDM), Anaheim, CA, USA, April 2012.
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Usman Raza, Alessandro Camerra, Amy L. Murphy, Themis Palpanas, Gian Pietro Picco. What Does Model-Driven Data Acquisition Really Achieve in Wireless Sensor Networks?. IEEE International Conference on Pervasive Computing and Communications (PerCom), Lugano, Switzerland, March 2012. BEST PAPER (acceptance rate 11%).
(PDF, recorded presentation)
Alice Marascu, Suleiman Ali Khan, Themis Palpanas. Scalable Similarity Matching in Streaming Time Series. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Kuala Lumpur, Malaysia, May 2012.
(PDF, supporting material)
Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas. SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Kuala Lumpur, Malaysia, May 2012.
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George Papadakis, Ekaterini Ioannou, Claudia Niederee, Themis Palpanas, Wolfgang Nejdl. Beyond 100 Million Entities: Large-Scale Blocking-based Resolution for Heterogeneous Data. ACM International Conference on Web Search and Data Mining (WSDM), Seattle, WA, USA, February 2012.
(PDF, supporting material)
Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas. Diverse Dimension Decomposition of an Itemsets Space. International Conference on Data Mining (ICDM), Vancouver, Canada, December 2011.
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Mikalai Tsytsarau, Themis Palpanas. Towards a Framework for Detecting and Managing Opinion Contradictions. PhD Forum, International Conference on Data Mining (ICDM), Vancouver, Canada, December 2011.
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Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas. Similarity Matching for Uncertain Time Series: Analytical and Experimental Comparison. ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST), in conjunction with ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), Chicago, IL, USA, November 2011.
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George Papadakis, Ekaterini Ioannou, Claudia Niederee, Themis Palpanas, Wolfgang Neijdl. To Compare or Not to Compare: Making Entity Resolution More Efficient. International Workshop on Semantic Web Information Management (SWIM), in conjunction with the ACM International Conference on Management of Data (SIGMOD), Athens, Greece, June 2011.
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George Papadakis, George Giannakopoulos, Claudia Niederee, Themis Palpanas, Wolfgang Neijdl. Detecting and Exploiting Stability in Evolving Heterogeneous Information Spaces. International ACM and IEEE Joint Conference on Digital Libraries (JCDL), Ottawa, Canada, June 2011.
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George Papadakis, Ekaterini Ioannou, Claudia Niederee, Themis Palpanas, Wolfgang Neijdl. Eliminating the Redundancy in Blocking-Based Entity Resolution Methods. International ACM and IEEE Joint Conference on Digital Libraries (JCDL), Ottawa, Canada, June 2011.
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Mikalai Tsytsarau, Themis Palpanas, Kerstin Denecke. Scalable Detection of Sentiment-Based Contradictions. International Workshop on Knowledge Diversity on the Web (DiversiWeb), in conjunction with the World Wide Web Conference (WWW), Hyberabad, India, March 2011.
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Alessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn Keogh. iSAX 2.0: Indexing and Mining One Billion Time Series. International Conference on Data Mining (ICDM), Sydney, Australia, December 2010.
(PDF, supporting material)
George Giannakopoulos, Themis Palpanas. The Effect of History on Modeling Systems’ Performance: The Problem of the Demanding Lord. International Conference on Data Mining (ICDM), Sydney, Australia, December 2010.
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Jeffrey Gerard, Frank Keller, Themis Palpanas. Corpus Evidence for Age Effects on Priming in Child Language. Cognitive Science (COGSCI), Portland, Oregon, USA, August 2010.
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Marwan Hassani, Emmanuel Muller, Pascal Spaus, Adriola Faqolli, Themis Palpanas, Thomas Seidl. Self-Organizing Energy Aware Clustering of Nodes in Sensor Networks Using Relevant Attributes. International Workshop on Knowledge Discovery from Sensor Data (SensorKDD), in conjunction with the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington, DC, USA, July 2010.
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Zoltan Miklos, Nicolas Bonvin, Paolo Bouquet, Michele Catasta, Daniele Cordioli, Peter Fankhauser, Julien Gaugaz, Ekaterini Ioannou, Hristo Koshutanski, Antonio Mana, Claudia Niederee, Themis Palpanas, Heiko Stoermer. From Web Data to Entities and Back. International Conference on Advanced Information Systems Engineering (CAiSE), Hammamet, Tunisia, June 2010.
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Mikalai Tsytsarau, Themis Palpanas, Kerstin Denecke. Scalable Discovery of Contradictions on the Web. International World Wide Web Conference (WWW), Raleigh, NC, USA, April 2010.
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Nikolaus Augsten, Denilson Barbosa, Michael Bohlen, Themis Palpanas. TASM: Top-k Approximate Subtree Matching. IEEE International Conference on Data Engineering (ICDE), Long Beach, CA, USA, March 2010. BEST PAPER (acceptance rate 12%).
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Heiko Stoermer, Themis Palpanas, George Giannakopoulos. The Entity Name System: Enabling the Web of Entities. International Workshop on Data Engineering meets the Semantic Web (DESWeb), in conjunction with the IEEE International Conference on Data Engineering (ICDE), Long Beach, CA, USA, March 2010.
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Paolo Bouquet, Themis Palpanas, Heiko Stoermer, Massimiliano Vignolo. A Conceptual Model for a Web-scale Entity Name System. Asian Semantic Web Conference (ASWC), Shanghai, China, December 2009.
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George Giannakopoulos, Themis Palpanas. Adaptivity in Entity Subscription Services. International Conference on Adaptive and Self-adaptive Systems and Applications (ADAPTIVE), Athens, Greece, November 2009. BEST PAPER (acceptance rate 29%).
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Barbara Bazzanella, Junaid Ahsenali Chaudhry, Themis Palpanas, Heiko Stoermer. Towards a General Entity Representation Model. SWAP, Rome, Italy, December 2008.
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Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka, Cinzia Cappiello. Enabling Better Decisions Through Quality-Aware Reports in Business Intelligence Applications. ICIQ, Cambridge, MA, USA, November 2008.
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Themis Palpanas, Jakka Sairamesh. Knowledge Mining for the Business Analyst. DEXA, Turin, Italy, September 2008.
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Themis Palpanas, Junaid Chaudhry, Periklis Andritsos, Yannis Velegrakis. Entity Data Management in OKKAM. DEXA-SWAE, Turin, Italy, September 2008.
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Ferry Irawan Tantono, Nishad Manerikar, Themis Palpanas. Efficiently Discovering Recent Frequent Items in Data Streams. SSDBM, Hong Kong, China, July 2008.
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Junaid Chaudhry, Themis Palpanas, Periklis Andritsos, Antonio Mana. Entity Lifecycle Management for OKKAM. ESWC-IRSW, Tenerife, Spain, June 2008.
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Themis Palpanas, Vana Kalogeraki, Dimitrios Gunopulos. Online Distribution Estimation for Streaming Data: Framework and Applications. SEBD, Torre Canne, Italy, June 2007.
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Sharmila Subramaniam, Vana Kalogeraki, Themis Palpanas. Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks. RTSS, Rio de Janeiro, Brazil, December 2006.
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Ioana Stanoi, George Mihaila, Themis Palpanas, Christian Lang. Maximizing the Sustained Throughput of Distributed Continuous Queries. CIKM, Arlington, VA, USA, November 2006.
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Sharmila Subramaniam, Themis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, Dimitrios Gunopulos. Online Outlier Detection in Sensor Data Using Non-Parametric Models. VLDB, Seoul, Korea, September 2006.
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Pawan Chowdhary, Themis Palpanas, Florian Pinel, Shyh-Kwei Chen, Frederick Wu. Model-Driven Dashboards for Business Performance Reporting. EDOC, Hong Kong, China, October 2006.
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Eamonn Keogh, Themis Palpanas, Victor B. Zordan, Dimitrios Gunopulos, Marc Cardle. Indexing Large Human-Motion Databases. VLDB, Toronto, ON, Canada, August 2004.
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Themis Palpanas, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos, Wagner Trupel. Time-decaying Representations of Streaming Time Series. SETN, Samos, Greece, May 2004.
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Themis Palpanas, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos, Wagner Truppel. Online Amnesic Approximation of Streaming Time Series. ICDE, Boston, MA, USA, March 2004.
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Themis Palpanas, Nick Koudas, Alberto Mendelzon. Space Constrained Selection Problems for Data Warehouses and Pervasive Computing. SSDBM, Cambridge, MA, USA, July 2003.
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Panayiotis Tsaparas, Themis Palpanas, Yannis Kotidis, Nick Koudas, Divesh Srivastava. Ranked Join Indices. ICDE, Bangalore, India, March 2003.
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Themis Palpanas, Richard Sidle, Roberta Cochrane, Hamid Pirahesh. Incremental Maintenance for Non-Distributive Aggregate Functions. VLDB, Hong Kong, China, August 2002.
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Themis Palpanas, Nick Koudas. Entropy Based Approximate Querying and Exploration of Datacubes. SSDBM, Fairfax, VA, USA, July 2001.
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Themis Palpanas, Alberto Mendelzon. Web Prefetching Using Partial Match Prediction. Appeared in Web Caching Workshop, San Diego, CA, USA, March 1999.
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[Patents] [Tutorials] [Editorship] [Books] [Book Chapters] [Journals] [Conferences]

Technical Reports

Giovanni Simonini, George Papadakis, Themis Palpanas, Sonia Bergamaschi. Schema-Agnostic Progressive Entity Resolution (Extended Version). arXiv:1905.06385, 2019.
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Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis, Kostas Stefanidis. End-to-End Entity Resolution for Big Data: A Survey. arXiv:1905.06397, 2019.
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George Papadakis, Dimitrios Skoutas, Emmanouil Thanos, Themis Palpanas. A Survey of Blocking and Filtering Techniques for Entity Resolution. arXiv:1905.06167, 2019.
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Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu. Progressive Data Science: Potential and Challenges. arXiv:1812.08032, 2018.
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George Papadakis, George Papastefanatos, Themis Palpanas. Boosting the Efficiency of Large-scale Entity Resolution with Enhanced Meta-blocking. Technical Report TR-IMIS-2015-1, Institute for the Management of Information Systems, Research Center Athena, January 2015.
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Michele Dallachiesa, Charu Aggarwal, Themis Palpanas. Node Classification in Uncertain Graphs. arXiv: 0974616[cs:DB], May 2014.
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Usman Raza, Alessandro Camerra, Amy L. Murphy, Themis Palpanas, Gian Pietro Picco. Practical Data Prediction for Real-World Wireless Sensor Networks. Technical Report DISI-14-004, Department of Information Engineering and Computer Science, University of Trento, April 2014.
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Zekarias Kefato, Matteo Lissandrini, Davide Mottin, Themis Palpanas. Keyword Query to Graph Query. Technical Report DISI-14-003, Department of Information Engineering and Computer Science, University of Trento, October 2013.
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George Papadakis, Ekaterini Ioannou, Themis Palpanas, Claudia Niederee, Wolfgang Nejdl. A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces. Technical Report DISI-12-023, Department of Information Engineering and Computer Science, University of Trento, May 2012.
(PDF, supporting material)
Oleksiy Chayka, Themis Palpanas, Paolo Bouquet. Defining and Measuring Data-Driven Quality Dimension of Staleness. Technical Report DISI-12-016, Department of Information Engineering and Computer Science, University of Trento, April 2012.
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George Giannakopoulos, Themis Palpanas. The Effect of History on Modeling Systems’ Performance: The Problem of the Demanding Lord. Technical Report DISI-10-052, Department of Information Engineering and Computer Science, University of Trento, October 2010.
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Nishad Manerikar, Themis Palpanas. Frequent Items in Streaming Data: An Experimental Evaluation of the State-of-the-Art. Technical Report DISI-08-017, Department of Information Engineering and Computer Science, University of Trento, March 2008.
(PDF, supporting material)
Themis Palpanas. Data Reduction in Data Warehouses . Technical Report CSRG-476, Department of Computer Science, University of Toronto, January 2003.
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Themis Palpanas, Per-Ake Larson, Jonathan Goldstein. Cache Management Policies for Semantic Caching. Technical Report CSRG-439, Department of Computer Science, University of Toronto, November 2001.
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Themis Palpanas, Nick Koudas. Entropy Based Approximate Querying and Exploration of Datacubes. Technical Report CSRG-409, Department of Computer Science, University of Toronto, May 2000.
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Themis Palpanas. Arranging Pixels in a DBMS: When Vision and Databases Come Together. Technical Report CSRG-404, Department of Computer Science, University of Toronto, January 2000.
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Themis Palpanas, Balachander Krishnamurthy. Reducing Retrieval Latencies in the Web: the Past, the Present, and the Future. Technical Report CSRG-378, Department of Computer Science, University of Toronto, January 1999.
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Themis Palpanas. Web Prefetching Using Partial Match Prediction . Technical Report CSRG-376, Department of Computer Science, University of Toronto, March 1998.
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Themis Palpanas, MultiDoc: Document Management System. Degree Thesis, National Technical Univ. of Athens, June 1996.