Buch, Englisch, Band 471, 222 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3693 g
Buch, Englisch, Band 471, 222 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3693 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-43348-1
Verlag: Springer
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 “Data Mining, classification and queries”, deals with rule and pattern mining, with topological approaches
and with OLAP.
The second part of the book, entitled “Ontology and Semantic”, is related
to knowledge-based and user-centered approaches in KDM.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0
Weitere Infos & Material
Part I Data Mining, classification and queries.-
Part II Ontology and semantic.
