Descripción del título
Advances in Knowledge Disco...
During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific French-speaking association, called EGC, dedicated to supporting and promoting this topic. More precisely, KDM is concerned with the interface between knowledge and data such as, among other things, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2010 Conference held in Tunis, Tunisia in January 2010. The volume is organized in three parts. Part I includes four chapters concerned with various aspects of Data Cube and Ontology-based representations. Part II is composed of four chapters concerned with Efficient Pattern Mining issues, while in Part III the last four chapters address Data Preprocessing and Information Retrieval
Monografía
monografia Rebiun36033482 https://catalogo.rebiun.org/rebiun/record/Rebiun36033482 m o d | cr#nn#008mamaa 120209s2012 gw s 00 0 eng d 9783642258381 9783642427794 9783642258398 9783642258374 10.1007/978-3-642-25838-1 doi UMA.RE eng UYQ bicssc COM004000 bisacsh 006.3 23 Advances in Knowledge Discovery and Management Recurso electrónico] :] Volume 2 edited by Fabrice Guillet, Gilbert Ritschard, Djamel Abdelkader Zighed Berlin, Heidelberg Springer Berlin Heidelberg 2012 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg 2012 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg XII, 244 p XII, 244 p Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in computational intelligence 1860-949X v. 398 Studies in Computational Intelligence 398 Includes author index Part I Data Cube and Ontology-based representations -- Part II Efficient Pattern Mining -- Part III Data Preprocessing and Information Retrieval During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific French-speaking association, called EGC, dedicated to supporting and promoting this topic. More precisely, KDM is concerned with the interface between knowledge and data such as, among other things, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2010 Conference held in Tunis, Tunisia in January 2010. The volume is organized in three parts. Part I includes four chapters concerned with various aspects of Data Cube and Ontology-based representations. Part II is composed of four chapters concerned with Efficient Pattern Mining issues, while in Part III the last four chapters address Data Preprocessing and Information Retrieval English Engineering Artificial intelligence Computational Intelligence. Artificial Intelligence. Engineering Artificial intelligence Computational Intelligence Artificial Intelligence Guillet, Fabrice ed. lit Ritschard, Gilbert ed. lit Zighed, Djamel Abdelkader ed. lit Studies in Computational Intelligence (CKB)1000000000238186 (DLC) (OCoLC) 1860-9503 3-642-25837-9 Studies in Computational Intelligence 398