Florent Masseglia

Florent Masseglia is currently a researcher for INRIA (Sophia Antipolis, France). He did research work in the Data Mining Group at the LIRMM (Montpellier, France) (1998-2002) and received a PhD in computer science from Versailles University, France (2002). His research interests include data mining (particularly sequential patterns and applications such as Web usage mining) and databases. He is a member of the steering committees of the French working group on mining complex data and the International Workshop on Multimedia Data. He has co-edited several special issues about mining complex or multimedia data. He also has co-chaired workshops on mining complex data and co-chaired the 6th and 7th editions of the International Workshop on Multimedia Data Mining in conjunction with the KDD conference. He is the author of numerous publications about data mining in journals and conferences and he is a reviewer for international journals.

Publications

Sequential Pattern Mining
Sequential Pattern Mining
Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. © 2009. 6 pages.
Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data...
Peer-to-Peer Usage Analysis
Peer-to-Peer Usage Analysis
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. © 2009. 6 pages.
With the huge number of information sources available on the Internet and the high dynamics of their data, peer-to-peer (P2P) systems propose a communication model in which each...
Web Usage Mining for Ontology Management
Web Usage Mining for Ontology Management
Brigitte Trousse, Marie-Aude Aufaure, Bénédicte Le Grand, Yves Lechevallier, Florent Masseglia. © 2009. 30 pages.
This chapter proposes an original approach for ontology management in the context of Web-based information systems. Our approach relies on the usage analysis of the chosen Web...
Data Mining Patterns: New Methods and Applications
Data Mining Patterns: New Methods and Applications
Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire. © 2008. 324 pages.
Since the introduction of the Apriori algorithm a decade ago, the problem of mining patterns is becoming a very active research area, and efficient techniques have been widely...
Successes and New Directions in Data Mining
Successes and New Directions in Data Mining
Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire. © 2008. 386 pages.
The problem of mining patterns is becoming a very active research area and efficient techniques have been widely applied to problems in industry, government, and science. From...
Web Usage Mining for Ontology Management
Web Usage Mining for Ontology Management
Brigitte Trousse, Marie-Aude Aufaure, Bénédicte Le Grand, Yves Lechevallier, Florent Masseglia. © 2008. 28 pages.
This chapter proposes an original approach for ontology management in the context of Web-based information systems. Our approach relies on the usage analysis of the chosen Web...
Sequential Pattern Mining
Sequential Pattern Mining
Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. © 2005. 5 pages.
Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data...