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Rechercher :

Mohamed QUAFAFOU

Mohamed QUAFAFOU


Membre de l'équipe INCOD
 
Fonction : Professeur des universités (PR)
UFR : Université de la Méditerranée (U2)
 
Tél. : 04 91 05 60 58
E-mail : mohamedquafafouunivmedfr
 
Adresse : 


PUBLICATIONS
[ présentation : catégorie > année / année > catégorie / compacte / BibTeX ] 
[1] M. Quafafou, Sami Naouali, Gilles Nachouki, “Knowledge Datawarehouse: Web Usage OLAP Application”, in: 2005 IEEE / WIC / ACM International Conference on Web Intelligence WI 2005), 19-22 September 2005, Compiegne, France, IEEE Computer Society, pp. 334-337, 2005.[bib]
[2] Gilles Nachouki, M. Quafafou, Marie-Pierre Chastang, “MDSManager: A System Based on Multidatasource Approach for Data Integration”, in: 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 19-22 September 2005, Compiegne, France, IEEE Computer Society, pp. 438-441, 2005.[bib]
[3] Benjamin Habegger, M. Quafafou, “WetDL: A Web Information Extraction Language”, in: Advances in Information Systems (ADVIS), LNCS 3261 Springer, pp. 128-138, 2004.[bib]
[4] Benjamin Habegger, M. Quafafou, “Building Web Information Extraction Tasks”, in: 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 20-24 September 2004, Beijing, China, IEEE Computer Society, pp. 349-355, 2004.[bib]
[5] Benjamin Habegger, Mohamed Quafafou, “Context Generalization for Information Extraction from the Web”, in: 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 20-24 September 2004, Beijing, China, IEEE Computer Society, pp. 720-723, 2004.[bib]
[6] Benjamin Habegger, M. Quafafou, “Web Services for Information Extraction from the Web”, in: Proceedings of the IEEE International Conference on Web Services (ICWS'04), IEEE Computer Society, pp. 279, 2004.[bib]
[7] Jimmy Leblet, M. Quafafou, “A New Method for Query Generation Applied to Learning Text Classifiers”, in: IEEE / WIC International Conference on Web Intelligence, (WI 2003), IEEE Computer Society, pp. 633-636, 2003.[bib]
[8] Daniel Pacholczyk, M. Quafafou, Laurent Garcia, “Optimistic vs. Pessimistic Interpretation of Linguistic Negation”, in: Artificial Intelligence: Methodology, Systems, and Applications, 10th International Conference, AIMSA 2002, Springer, Lecture Notes in Computer Science, vol. 2443, pp. 132-141, 2002.[bib]
[9] Benjamin Habegger, M. Quafafou, “Multi-Pattern Wrappers for Relation Extraction from the Web”, in: Proceedings of the 15th Eureopean Conference on Artificial Intelligence, ECAI'2002, IOS Press, pp. 395-399, 2002.[bib]
[10] Gilles Nachouki, M. Quafafou, “Extracting, Interconnecting, and Accessing Heterogeneous Data Sources: An XML Query Based Approach.”, in: EurAsia-ICT 2002, pp. 442-449, 2002.[bib]
[11] Vincent Dubois, M. Quafafou, “Rough Version Spaces for Text Mining”, in: FSKD 2002, pp. 339-343, 2002.[bib]
[12] Daniel Pacholczyk, M. Quafafou, “Towards a Linguistic Negation Approximation Based on Rough Set Theory”, in: IC-AI 2002, pp. 542-548, 2002.[bib]
[13] Vincent Dubois, M. Quafafou, “Incremental and Dynamic Text Mining”, in: ISMIS 2002, pp. 265-273, 2002.[bib]
[14] Vincent Dubois, M. Quafafou, “Concept Learning with Approximation: Rough Version Spaces”, in: Rough Sets and Current Trends in Computing 2002, pp. 239-246, 2002.[bib]
[15] Gaëtan Gaumer, M. Quafafou, “Résumés d'instances pour l'extraction de connaissances à partir de données relationnelles et textuelles”, in: BDA 2001, 2001.[bib]
[16] Vincent Dubois, M. Quafafou, Benjamin Habegger, “Mining Crawled Data and Visualizing Discovered Knowledge”, in: Web Intelligence 2001, pp. 493-497, 2001.[bib]
[17] Moussa Boussouf, M. Quafafou, “Data Reduction via Conflicting Data Analysis”, in: ISMIS 2000, pp. 139-147, 2000.[bib]
[18] Moussa Boussouf, M. Quafafou, “Scalable Feature Selection Using Rough Set Theory”, in: Rough Sets and Current Trends in Computing, 131-138, 2000.[bib]
[19] M. Quafafou, “alpha-RST: a generalization of rough set theory”, in: Inf. Sci., vol. 124(1-4), pp. 301-316, 2000.[bib]
[20] M. Quafafou, Moussa Boussouf, “Generalized rough sets based feature selection”, in: Intell. Data Anal, vol. 4(1):, pp. 3-17, 2000.[bib]
 

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