| Mining multidimensional and multilevel sequential patterns M Plantevit, A Laurent, D Laurent, M Teisseire, YW Choong ACM Transactions on Knowledge Discovery from Data (TKDD) 4 (1), 1-37, 2010 | 107 | 2010 |
| Mining dominant patterns in the sky A Soulet, C Raïssi, M Plantevit, B Crémilleux 2011 IEEE 11th International Conference on Data Mining, 655-664, 2011 | 103 | 2011 |
| Mining graph topological patterns: Finding co-variations among vertex descriptors A Prado, M Plantevit, C Robardet, JF Boulicaut IEEE Trans. Knowl. Data Eng. 25 (9), 2090-2104, 2013 | 86 | 2013 |
| M2SP: Mining Sequential Patterns Among Several Dimensions M Plantevit, YW Choong, A Laurent, D Laurent, M Teisseire Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005 | 79 | 2005 |
| Cohesive co-evolution patterns in dynamic attributed graphs E Desmier, M Plantevit, C Robardet, JF Boulicaut International conference on discovery science, 110-124, 2012 | 63 | 2012 |
| Electricity price forecasting on the day-ahead market using machine learning L Tschora, E Pierre, M Plantevit, C Robardet Applied Energy 313, 118752, 2022 | 49 | 2022 |
| Chemical features mining provides new descriptive structure-odor relationships CC Licon, G Bosc, M Sabri, M Mantel, A Fournel, C Bushdid, ... PLoS computational biology 15 (4), e1006945, 2019 | 43 | 2019 |
| HYPE: mining hierarchical sequential patterns M Plantevit, A Laurent, M Teisseire Proceedings of the 9th ACM international workshop on Data warehousing and …, 2006 | 39* | 2006 |
| Exceptional contextual subgraph mining M Kaytoue, M Plantevit, A Zimmermann, A Bendimerad, C Robardet Machine Learning 106, 1171-1211, 2017 | 37 | 2017 |
| Trend mining in dynamic attributed graphs E Desmier, M Plantevit, C Robardet, JF Boulicaut Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 36 | 2013 |
| Sequential patterns to discover and characterise biological relations P Cellier, T Charnois, M Plantevit International Conference on Intelligent Text Processing and Computational …, 2010 | 36* | 2010 |
| Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems W Ugarte, P Boizumault, B Crémilleux, A Lepailleur, S Loudni, M Plantevit, ... Artificial Intelligence 244, 48-69, 2017 | 34 | 2017 |
| Finding maximal homogeneous clique sets PN Mougel, C Rigotti, M Plantevit, O Gandrillon Knowledge and Information Systems 39, 579-608, 2014 | 32* | 2014 |
| Combining sequence and itemset mining to discover named entities in biomedical texts: a new type of pattern M Plantevit, T Charnois, J Kléma, C Rigotti, B Crémilleux International Journal of Data Mining, Modelling and Management 1 (2), 119-148, 2009 | 31 | 2009 |
| Multidimensional association rules in boolean tensors KNT Nguyen, L Cerf, M Plantevit, JF Boulicaut Proceedings of the 2011 SIAM International Conference on Data Mining, 570-581, 2011 | 30* | 2011 |
| Unsupervised exceptional attributed sub-graph mining in urban data AA Bendimerad, M Plantevit, C Robardet 2016 IEEE 16th International Conference on Data Mining (ICDM), 21-30, 2016 | 29 | 2016 |
| Condensed representation of sequential patterns according to frequency-based measures M Plantevit, B Crémilleux International Symposium on Intelligent Data Analysis, 155-166, 2009 | 29 | 2009 |
| Mining multidimensional sequential patterns over data streams C Raïssi, M Plantevit International Conference on Data Warehousing and Knowledge Discovery, 263-272, 2008 | 27 | 2008 |
| Fssd-a fast and efficient algorithm for subgroup set discovery A Belfodil, A Belfodil, A Bendimerad, P Lamarre, C Robardet, M Kaytoue, ... 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 25 | 2019 |
| Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts P Cellier, T Charnois, M Plantevit, C Rigotti, B Crémilleux, O Gandrillon, ... Journal of biomedical semantics 6, 1-12, 2015 | 23 | 2015 |
Celine RobardetINSA de Lyon, LIRIS CNRS UMR 5205Verified email at insa-lyon.fr
