| Survey on mining subjective data on the web M Tsytsarau, T Palpanas Data Mining and Knowledge Discovery 24 (3), 478-514, 2012 | 720 | 2012 |
| Online outlier detection in sensor data using non-parametric models S Subramaniam, T Palpanas, D Papadopoulos, V Kalogeraki, ... Proceedings of the 32nd international conference on Very large data bases …, 2006 | 666 | 2006 |
| An overview of end-to-end entity resolution for big data V Christophides, V Efthymiou, T Palpanas, G Papadakis, K Stefanidis ACM Computing Surveys (CSUR) 53 (6), 1-42, 2020 | 316 | 2020 |
| Indexing large human-motion databases E Keogh, T Palpanas, VB Zordan, D Gunopulos, M Cardle Proceedings of the Thirtieth international conference on Very large data …, 2004 | 311 | 2004 |
| Blocking and filtering techniques for entity resolution: A survey G Papadakis, D Skoutas, E Thanos, T Palpanas ACM Computing Surveys (CSUR) 53 (2), 1-42, 2020 | 303 | 2020 |
| isax 2.0: Indexing and mining one billion time series A Camerra, T Palpanas, J Shieh, E Keogh 2010 IEEE international conference on data mining, 58-67, 2010 | 289 | 2010 |
| Distributed deviation detection in sensor networks T Palpanas, D Papadopoulos, V Kalogeraki, D Gunopulos Acm sigmod record 32 (4), 77-82, 2003 | 260 | 2003 |
| Online amnesic approximation of streaming time series T Palpanas, M Vlachos, E Keogh, D Gunopulos, W Truppel Proceedings. 20th International Conference on Data Engineering, 339-349, 2004 | 219 | 2004 |
| Comparative analysis of approximate blocking techniques for entity resolution G Papadakis, J Svirsky, A Gal, T Palpanas Proceedings of the VLDB Endowment 9 (9), 684-695, 2016 | 218 | 2016 |
| TSB-UAD: an end-to-end benchmark suite for univariate time-series anomaly detection J Paparrizos, Y Kang, P Boniol, RS Tsay, T Palpanas, MJ Franklin Proceedings of the VLDB Endowment 15 (8), 1697-1711, 2022 | 208 | 2022 |
| Incremental maintenance for non-distributive aggregate functions T Palpanas, R Sidle, R Cochrane, H Pirahesh VLDB'02: Proceedings of the 28th International Conference on Very Large …, 2002 | 208 | 2002 |
| Meta-blocking: Taking entity resolutionto the next level G Papadakis, G Koutrika, T Palpanas, W Nejdl IEEE Transactions on Knowledge and Data Engineering 26 (8), 1946-1960, 2013 | 207 | 2013 |
| A blocking framework for entity resolution in highly heterogeneous information spaces G Papadakis, E Ioannou, T Palpanas, C Niederée, W Nejdl IEEE Transactions on Knowledge and Data Engineering 25 (12), 2665-2682, 2012 | 205 | 2012 |
| Practical data prediction for real-world wireless sensor networks U Raza, A Camerra, AL Murphy, T Palpanas, GP Picco IEEE Transactions on Knowledge and Data Engineering 27 (8), 2231-2244, 2015 | 193 | 2015 |
| Volume under the surface: a new accuracy evaluation measure for time-series anomaly detection J Paparrizos, P Boniol, T Palpanas, RS Tsay, A Elmore, MJ Franklin Proceedings of the VLDB Endowment 15 (11), 2774-2787, 2022 | 172 | 2022 |
| System and method for model-driven dashboard for business performance management PR Chowdhary, FA Pinel, T Palpanas, SK Chen US Patent 8,843,883, 2014 | 172 | 2014 |
| Beyond one billion time series: indexing and mining very large time series collections with SAX2+ A Camerra, J Shieh, T Palpanas, T Rakthanmanon, E Keogh Knowledge and information systems 39 (1), 123-151, 2014 | 162 | 2014 |
| Series2graph: Graph-based subsequence anomaly detection for time series P Boniol, T Palpanas arXiv preprint arXiv:2207.12208, 2022 | 155 | 2022 |
| Interdisciplinary research in artificial intelligence: challenges and opportunities R Kusters, D Misevic, H Berry, A Cully, Y Le Cunff, L Dandoy, ... Frontiers in big data 3, 577974, 2020 | 155 | 2020 |
| Density-based projected clustering over high dimensional data streams I Ntoutsi, A Zimek, T Palpanas, P Kröger, HP Kriegel Proceedings of the 2012 SIAM international conference on data mining, 987-998, 2012 | 152 | 2012 |
Panayiotis TsaparasAssociate Professor, Department of Computer Science and Engineering, University of Ioannina, Greece.Verified email at cs.uoi.gr
