• February 2021, starting a new 3-year term on the Editorial Board for Data Mining and Knowledge Discovery.
• January 2021, our paper Explicit and implicit measures of emotions: Data-science might help to account for data complexity and heterogeneity with M. Moranges, C. Rouby and M. Bensafi accepted in Food Quality and Preference Journal.
• September 2020, Leonard Tschora started his PhD thesis, co-supervised by Céline Robardet and myself, funded by BCM Energy.
• January 2020, Maëlle Moranges started her PhD in Neuroscience, co-supervised by Moustafa Bensafi and myself.
• September 2019, Luca Veyrin-Forrer is a new Phd Candidate, co-supervised by Stefan Duffner, Céline Robardet and myself, funded by ACADEMICS project.
• September 2019, Anes Bendimerad and Adnene Belfodil defended their PhD thesis.
• June 2019, our paper on Discovering significant exceptional (dis-)agreement within groups with Adnene Belfodil, Wouter Duivesteijn, Sylvie Cazalens and Philippe Lamarre accepted at ECMLPKDD 2019
• May 2019, our paper on contrastive antichains in hierarchies with Anes Bendimerad, Jefrey Lijffijt, Céline Robardet and Tijl De Bie accepted in the research track of the 25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING
• April 2019, our interdisciplinary work on understanding the structure-odor relationships accepted in PLOS Computational Biology . with a news from CNRS.
• December 14th 2018, HDR Defense
• July 4th 2018, eBISS'18 slides on Preference-based pattern mining are available.
• June 13th, ICFCA'17 Tutorial on Preference-based pattern mining (Slides)
• January 2017, our paper on Exceptional contextual subgraph mining accepted for publication at Machine Learning Journal is online.
• October 26-28, Symposium on Interactive preference-based pattern mining, Rennes.
• September 2016ECMLPKDD'16 Tutorial on Preference-based Pattern Mining with Bruno Crémilleux and Arnaud Soulet. Material available on the webpage.
• September 2016: Paper entitled “Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data” coauthored with Anes Bendimerad and Céline Robardet has just been accepted as regular paper at IEEE ICDM 2016. Source code and data will be available.

Marc Plantevit, PhD

Associate Professor (Maître de Conférences)

Université Claude Bernard Lyon 1

LIRIS - CNRS UMR 5205

Data Mining and Machine Learning Team (DM2L)

I have been associate professor at LIRIS Lab since September 2009, and leader of the DM2L group since June 2019. As a member of the DM2L team (ex-Combining (ex-Turing) group ), I work on data mining problems, specially in pattern (sequence, itemset, graph, etc.) mining and multidimensional data mining. I teach at the computer science department of the faculty of sciences, Universite Claude Bernard Lyon 1.

Before this position, I was post-doctoral researcher in computer science in the ex-DoDoLa Team at GREYC Laboratory, Université de Caen Basse-Normandie, France where I worked on the ANR (French Research National Agency) funded project Bingo2 ANR-07-MDCO-014. I worked with Thierry Charnois and Bruno Crémilleux.

I received a Ph.D in computer science in 2008 from Université Montpellier 2 in LIRMM Laboratory in the field of sequential pattern mining in multidimensional databases under the supervision of Anne Laurent and Maguelonne Teisseire.