Marc Plantevit
Marc Plantevit
Professor at EPITA, Deputy head of EPITA Research Lab (LRE)
Verified email at - Homepage
Cited by
Cited by
Electricity price forecasting on the day-ahead market using machine learning
L Tschora, E Pierre, M Plantevit, C Robardet
Applied Energy 313, 118752, 2022
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
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
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
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
Cohesive co-evolution patterns in dynamic attributed graphs
E Desmier, M Plantevit, C Robardet, JF Boulicaut
International conference on discovery science, 110-124, 2012
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
Exceptional contextual subgraph mining
M Kaytoue, M Plantevit, A Zimmermann, A Bendimerad, C Robardet
Machine Learning 106, 1171-1211, 2017
HYPE: mining hierarchical sequential patterns
M Plantevit, A Laurent, M Teisseire
Proceedings of the 9th ACM international workshop on Data warehousing and …, 2006
Trend mining in dynamic attributed graphs
E Desmier, M Plantevit, C Robardet, JF Boulicaut
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
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
Sequential patterns to discover and characterise biological relations
P Cellier, T Charnois, M Plantevit
International Conference on Intelligent Text Processing and Computational …, 2010
Finding maximal homogeneous clique sets
PN Mougel, C Rigotti, M Plantevit, O Gandrillon
Knowledge and Information Systems 39, 579-608, 2014
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
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
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
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
Condensed representation of sequential patterns according to frequency-based measures
M Plantevit, B Crémilleux
International Symposium on Intelligent Data Analysis, 155-166, 2009
Mining multidimensional sequential patterns over data streams
C Raïssi, M Plantevit
International Conference on Data Warehousing and Knowledge Discovery, 263-272, 2008
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
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