Advances in Knowledge Discovery and Management
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’2011 Conference held in Brest, France, on January 2011. EGC stands for "Extraction et Gestion des connaissa...
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| Otros Autores: | , , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
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| Colección: | Studies in Computational Intelligence ;
471. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b3304790x*spi |
| Sumario: | 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’2011 Conference held in Brest, France, on January 2011. EGC stands for "Extraction et Gestion des connaissances" in French, and means "Knowledge Discovery and Management" or KDM. KDM is concerned with the works in computer science at the interface between data and knowledge; such as Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. This book is intended to be read by all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. This book has been structured in two parts. The first part, entitled zData Mining, classification and queriesy, deals with rule and pattern mining, with topological approaches and with OLAP. The second part of the book, entitled zOntology and Semanticy, is related to knowledge-based and user-centered approaches in KDM. |
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| Descripción Física: | XVIII, 222 p. |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9783642358555 |
