UID:
almahu_9949272445502882
Format:
XVI, 200 p. 87 illus., 36 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030902872
Series Statement:
Studies in Computational Intelligence, 1004
Content:
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 EGC'2019held 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:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030902865
Additional Edition:
Printed edition: ISBN 9783030902889
Additional Edition:
Printed edition: ISBN 9783030902896
Language:
English
Subjects:
Computer Science
Keywords:
Konferenzschrift
DOI:
10.1007/978-3-030-90287-2
URL:
https://doi.org/10.1007/978-3-030-90287-2
URL:
Volltext
(URL des Erstveröffentlichers)
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