Advances in knowledge discovery and management. Volume 9 / Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet, editors.
2022
QA76.9.D343
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Details
Title
Advances in knowledge discovery and management. Volume 9 / Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet, editors.
ISBN
9783030902872 (electronic bk.)
3030902870 (electronic bk.)
3030902862
9783030902865
3030902870 (electronic bk.)
3030902862
9783030902865
Imprint
Cham : Springer, 2022.
Language
English
Description
1 online resource (207 pages)
Other Standard Identifiers
10.1007/978-3-030-90287-2 doi
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
Summary
This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC2019held in Metz (France, January 21-25, 2019). These extended versions have been accepted after an additional peer-review process among papers already accepted in long format at the conference. Concerning the conference, the long and short papers selection were also the result of a double blind peer review process among the hundreds of papers initially submitted to each edition of the conference (acceptance rate for long papers is about 25%.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 30, 2022).
Added Author
Jaziri, Rakia.
Martin, Arnaud.
Rousset, Marie-Christine.
Boudjeloud-Assala, Lydia.
Guillet, Fabrice.
Martin, Arnaud.
Rousset, Marie-Christine.
Boudjeloud-Assala, Lydia.
Guillet, Fabrice.
Series
Studies in computational intelligence ; v. 1004.
Available in Other Form
Advances in Knowledge Discovery and Management.
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Online Access
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Table of Contents
Study and analyse textual data
Advances in anomaly detection
Exploration and the representation of complex data including Big data, heterogeneous data, graph data
Propose a community detection strategy.
Advances in anomaly detection
Exploration and the representation of complex data including Big data, heterogeneous data, graph data
Propose a community detection strategy.