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Jean-Marc Petit

Papers on DiSC'06


A Thorough Experimental Study of Datasets for Frequent Itemsets

Publications


Note: Links lead to the DBLP on the Web.

Jean-Marc Petit

Hélène Jaudoin , Jean-Marc Petit, Christophe Rey , Michel Schneider , Farouk Toumani : Query rewriting using views in presence of value constraints. Description Logics 2005

Fabien De Marchi , Mohand-Said Hacid , Jean-Marc Petit: Some remarks on self-tuning logical database design. ICDE Workshops 2005 : 1219

Frédéric Flouvat , Fabien De Marchi , Jean-Marc Petit: A Thorough Experimental Study of Datasets for Frequent Itemsets. ICDM 2005 : 162-169

Marie Agier , Jean-Marc Petit, Einoshin Suzuki : Towards Ad-Hoc Rule Semantics for Gene Expression Data. ISMIS 2005 : 494-503

Fabien De Marchi , Jean-Marc Petit: Approximating a Set of Approximate Inclusion Dependencies. Intelligent Information Systems 2005 : 633-640

Fabien De Marchi , Frédéric Flouvat , Jean-Marc Petit: Adaptive Strategies for Mining the Positive Border of Interesting Patterns: Application to Inclusion Dependencies in Databases. Constraint-Based Mining and Inductive Databases 2004 : 81-101

Frédéric Flouvat , Fabien De Marchi , Jean-Marc Petit: ABS: Adaptive Borders Search of frequent itemsets. FIMI 2004

Stéphane Lopes , Fabien De Marchi , Jean-Marc Petit: DBA Companion: A Tool for Logical Database Tuning. ICDE 2004 : 859

Marie Agier , Jean-Marc Petit, Valérie Chabaud , Yves Jean Bignon , Véronique Vidal : Vers différents types de règles pour les données d'expression de gènes - application à des données de tumeurs mammaires. INFORSID 2004 : 351-367

Fabien De Marchi , Jean-Marc Petit: Zigzag: a new algorithm for mining large inclusion dependencies in database. ICDM 2003 : 27-34

Fabien De Marchi , Stéphane Lopes , Jean-Marc Petit, Farouk Toumani : Analysis of existing databases at the logical level: the DBA companion project. SIGMOD Record 32 (1): 47-52 (2003)

Fabien De Marchi , Stéphane Lopes , Jean-Marc Petit: Efficient Algorithms for Mining Inclusion Dependencies. EDBT 2002 : 464-476

Fabien De Marchi , Stéphane Lopes , Jean-Marc Petit: Samples for Understanding Data-Semantics in Relations. ISMIS 2002 : 565-573

Stéphane Lopes , Jean-Marc Petit, Farouk Toumani : Discovering interesting inclusion dependencies: application to logical database tuning. Inf. Syst. 27 (1): 1-19 (2002)

Stéphane Lopes , Jean-Marc Petit, Lotfi Lakhal : Functional and approximate dependency mining: database and FCA points of view. J. Exp. Theor. Artif. Intell. 14 (2-3): 93-114 (2002)

Stéphane Lopes , Jean-Marc Petit, Lotfi Lakhal : A Framework for Understanding Existing Databases. IDEAS 2001 : 330-338

Fabien De Marchi , Marlène Rivon , Stéphane Lopes , Jean-Marc Petit: MIND : algorithme par niveaux de découverte des dépendances d'inclusion. INFORSID 2001 : 301-318

Mohand-Said Hacid , Jean-Marc Petit, Farouk Toumani : Representing and Reasoning on Database Conceptual Schemas. Knowl. Inf. Syst. 3 (1): 52-80 (2001)

Stéphane Lopes , Jean-Marc Petit, Lotfi Lakhal : Efficient Discovery of Functional Dependencies and Armstrong Relations. EDBT 2000 : 350-364

Stéphane Lopes , Jean-Marc Petit, Farouk Toumani : Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements. PKDD 1999 : 430-435

Jean-Marc Petit, Farouk Toumani : Discovering Inclusion and Approximate Dependencies in Relational Databases. Proc. 15èmes Journées Bases de Données Avancées, BDA 1999 : 323-339

Farouk Toumani , Jean-Marc Petit, Jacques Kouloumdjian : Taxinomic Reasoning in Schema Translation. ER Workshop Challenges of Application and Challenges of Design 1996 : 147-160

Jean-Marc Petit, Farouk Toumani , Jean-François Boulicaut , Jacques Kouloumdjian : Towards the Reverse Engineering of Denormalized Relational Databases. ICDE 1996 : 218-227

Jean-Marc Petit, Farouk Toumani , Jacques Kouloumdjian : Relational Database Reverse Engineering: A Method Based on Query Analysis. Int. J. Cooperative Inf. Syst. 4 (2-3): 287-316 (1995)

Jean-Marc Petit, Jacques Kouloumdjian , Jean-François Boulicaut , Farouk Toumani : Using Queries to Improve Database Reverse Engineering. ER 1994 : 369-386

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