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Note: Links lead to the DBLP on the Web. Pascal Poncelet Rachid Arezki , Pascal Poncelet, Gérard Dray , David William Pearson : Web Information Retrieval Based on User Profile. AH 2004 : 275-278 Rachid Arezki , Pascal Poncelet, Gérard Dray , David William Pearson : Information Retrieval Model Based on User Profile. AIMSA 2004 : 490-499 Rachid Arezki , Abdenour Mokrane , Gérard Dray , Pascal Poncelet, David William Pearson : LUCI: A Personalization Documentary System Based on the Analysis of the History of the User's Actions. FQAS 2004 : 487-498 Florent Masseglia , Pascal Poncelet, Maguelonne Teisseire : Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. TIME 2004 : 87-95 Pierre-Alain Laur , Maguelonne Teisseire , Pascal Poncelet: AUSMS: An Environment for Frequent Sub-structures Extraction in a Semi-structured Object Collection. DEXA 2003 : 38-45 Pierre-Alain Laur , Maguelonne Teisseire , Pascal Poncelet: Web Usage Mining: Extraction, Maintenance and Behaviour Trends. IICAI 2003 : 493-506 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 Maguelonne Teisseire , Pascal Poncelet, Rosine Cicchetti : Objects and Events as Modeling Drivers. Advances in Object-Oriented Data Modeling 2000 : 41-64 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 Fabienne Cathala , Pascal Poncelet: Preserving Behaviour: Why and How. CAiSE 1997 : 333-346 Rosine Cicchetti , Pascal Poncelet, Maguelonne Teisseire : Une Aide à la conception et au Contrôle de Règles actives. BDA 1996 : 19- Zohra Bellahsene , Pascal Poncelet, Maguelonne Teisseire : Views for Information System Design without Reorganization. CAiSE 1996 : 496-513 Rosine Cicchetti , Pascal Poncelet, Maguelonne Teisseire : Modélisation et validation comportementales. INFORSID 1996 : 407-425 Maguelonne Teisseire , Pascal Poncelet, Rosine Cicchetti : Dynamic Modelling with Events CAiSE 1994 : 186-199 Maguelonne Teisseire , Pascal Poncelet, Rosine Cicchetti : IFO2: a Uniform Approach for Information System Modelling. DAISD 1994 : 33-53 Maguelonne Teisseire , Pascal Poncelet, Rosine Cicchetti : Towards Event-Driven Modelling for Database Design. VLDB 1994 : 285-296 Pascal Poncelet, Lotfi Lakhal : Consistent Structural Updates for Object Database Design CAiSE 1993 : 1-21 Pascal Poncelet, Maguelonne Teisseire , Rosine Cicchetti , Lotfi Lakhal : Towards a Formal Approach for Object Database Design. VLDB 1993 : 278-289 Pascal Poncelet, Maguelonne Teisseire , Lotfi Lakhal : IFO2, modèle et principe pour la conception de bases de données avancées. BDA 1992 : 320- 1 [ 26 ] [ 27 ] [ 28 ] 2 [ 8 ] 3 [ 10 ] [ 11 ] 4 [ 2 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 9 ] [ 13 ] [ 14 ] [ 15 ] 5 [ 26 ] [ 27 ] [ 28 ] 6 [ 1 ] [ 2 ] [ 3 ] 7 [ 17 ] [ 18 ] [ 23 ] [ 24 ] 8 [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 16 ] [ 17 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] [ 22 ] [ 25 ] 9 [ 26 ] 10 [ 26 ] [ 27 ] [ 28 ] 11 [ 1 ] [ 2 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 12 ] [ 15 ] [ 16 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] [ 22 ] [ 23 ] [ 24 ] [ 25 ]  ©2005 Association for Computing Machinery |
