Overview
- Presents representative and novel works in the field of data science, semantic Web, clustering, and classification
- Concerns both theoretical and practical aspects for scholars, PhD and MSc students, and researchers from public or private laboratories
- Presents recent research
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 732)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of “Knowledge Discovery and Management” (KDM), it is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories.
The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC’2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Knowledge Discovery and Management
Book Subtitle: Volume 7
Editors: Bruno Pinaud, Fabrice Guillet, Bruno Cremilleux, Cyril de Runz
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-65406-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-65405-8Published: 18 October 2017
Softcover ISBN: 978-3-319-88020-4Published: 15 August 2018
eBook ISBN: 978-3-319-65406-5Published: 09 October 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 147
Number of Illustrations: 11 b/w illustrations, 35 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery, Knowledge Management