Advances in Knowledge Discovery and Management / Studies in Computational Intelligence Bd.292 (PDF)
(Sprache: Englisch)
During the last decade, the French-speaking scientific community developed a very
strong research activity in the field of Knowledge Discovery and Management
(KDM or EGC for "Extraction et Gestion des Connaissances" in French), which
is concerned with,...
strong research activity in the field of Knowledge Discovery and Management
(KDM or EGC for "Extraction et Gestion des Connaissances" in French), which
is concerned with,...
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During the last decade, the French-speaking scientific community developed a very
strong research activity in the field of Knowledge Discovery and Management
(KDM or EGC for "Extraction et Gestion des Connaissances" in French), which
is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence,
Knowledge Engineering and SemanticWeb. 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 2009 Conference held in Strasbourg, France on January 2009.
The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.
strong research activity in the field of Knowledge Discovery and Management
(KDM or EGC for "Extraction et Gestion des Connaissances" in French), which
is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence,
Knowledge Engineering and SemanticWeb. 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 2009 Conference held in Strasbourg, France on January 2009.
The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.
Bibliographische Angaben
- 2010, 2010, 335 Seiten, Englisch
- Herausgegeben: Fabrice Guillet, Gilbert Ritschard, Djamel A. Zighed
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642005802
- ISBN-13: 9783642005800
- Erscheinungsdatum: 07.09.2010
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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