Pascal Poncelet

Pascal Poncelet is a professor and the head of the data mining research group in the computer science department at the Ecole des Mines d’Alès in France. He is also co-head of the department. Professor Poncelet has previously worked as lecturer (1993-1994), as associate professor, respectively, in the Méditerranée University (1994-1999) and Montpellier University (1999 2001). His research interest can be summarized as advanced data analysis techniques for emerging applications. He is currently interested in various techniques of data mining with application in Web mining and text mining. He has published a large number of research papers in refereed journals, conference, and workshops, and been reviewer for some leading academic journals. He is also co-head of the French CNRS Group “I3” on data mining.

Publications

Mining Unexpected Sequential Patterns and Implication Rules
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet. © 2010. 18 pages.
As common criteria in data mining methods, the frequency-based interestingness measures provide a statistical view of the correlation in the data, such as sequential patterns....
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
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...
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
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...
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...