Editors:
- Presents representative and novel research in the fields of data science, semantic Web, clustering, and classification
- Provides recent research in Knowledge Discovery and Management
- Offers a carefully edited post-proceedings book
Part of the book series: Studies in Computational Intelligence (SCI, volume 834)
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Table of contents (8 chapters)
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Front Matter
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Spatial and Temporal Dimension
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Front Matter
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Human and Social Dimension
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Front Matter
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Back Matter
About this book
This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations.
Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike.Editors and Affiliations
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University of Bordeaux, Bordeaux, France
Bruno Pinaud
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Polytechnic School of the University of Nantes, University of Nantes, Nantes, France
Fabrice Guillet
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University of Côte d'Azur, Inria, Sophia Antipolis, France
Fabien Gandon
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CNRS, Hubert Curien Laboratory, University of Lyon, Université Jean Monnet, Saint-Etienne, Saint-Étienne, France
Christine Largeron
Bibliographic Information
Book Title: Advances in Knowledge Discovery and Management
Book Subtitle: Volume 8
Editors: Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-18129-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-18128-4Published: 01 July 2019
Softcover ISBN: 978-3-030-18131-4Published: 14 August 2020
eBook ISBN: 978-3-030-18129-1Published: 20 June 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 183
Number of Illustrations: 42 b/w illustrations, 33 illustrations in colour