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Note: Links lead to the DBLP on the Web. Florent Masseglia Florent Masseglia, Doru Tanasa , Brigitte Trousse : Web Usage Mining: Sequential Pattern Extraction with a Very Low Support. APWeb 2004 : 513-522 Florent Masseglia, Pascal Poncelet , Maguelonne Teisseire : Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. TIME 2004 : 87-95 Florent Masseglia, Pascal Poncelet , Maguelonne Teisseire : Incremental mining of sequential patterns in large databases. Data Knowl. Eng. 46 (1): 97-121 (2003) Florent Masseglia, Maguelonne Teisseire , Pascal Poncelet : HDM: A Client/Server/Engine Architecture for Real-Time Web Usage Mining. Knowl. Inf. Syst. 5 (4): 439-465 (2003) Florent Masseglia, Maguelonne Teisseire , Pascal Poncelet : Real Time Web Usage Mining: a Heuristic based Distributed Miner. RIDE 2002 Florent Masseglia, Maguelonne Teisseire , Pascal Poncelet : Real-Time Web Usage Mining: A Heuristic Based Distributed Miner. WISE (1) 2001 : 288- Pierre-Alain Laur , Florent Masseglia, Pascal Poncelet , Maguelonne Teisseire : A General Architecture for Finding Structural Regularities on the Web. AIMSA 2000 : 179-188 Pierre-Alain Laur , Florent Masseglia, Pascal Poncelet : Schema Mining: Finding Structural Regularity among Semistructured Data. PKDD 2000 : 498-503 Florent Masseglia, Pascal Poncelet , Maguelonne Teisseire : Web Usage Mining: How to Efficiently Manage New Transactions and New Clients. PKDD 2000 : 530-535 Florent Masseglia, Pascal Poncelet , Rosine Cicchetti : WebTool: An Integrated Framework for Data Mining. DEXA 1999 : 892-901 Florent Masseglia, Pascal Poncelet , Rosine Cicchetti : Webtool: un environnement intégré de data mining. INFORSID 1999 : 393-411 Florent Masseglia, Pascal Poncelet , Maguelonne Teisseire : Extraction efficace de motifs séquentiels : le prétraitement des données. Proc. 15èmes Journées Bases de Données Avancées, BDA 1999 : 341-360 Florent Masseglia, Fabienne Cathala , Pascal Poncelet : The PSP Approach for Mining Sequential Patterns. PKDD 1998 : 176-184 1 [ 1 ] 2 [ 3 ] [ 4 ] 3 [ 6 ] [ 7 ] 4 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] 5 [ 13 ] 6 [ 2 ] [ 5 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] 7 [ 13 ]  ©2005 Association for Computing Machinery |
