Advances in Knowledge Discovery and Management Volume 9
Advances in Knowledge Discovery and Management Volume 9
edited by Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet
- First edition 2022
- 1 recurso en línea (XVI, 200 páginas) 87 ilustraciones, 36 ilustraciones a color
- Studies in Computational Intelligence 1004 1860-9503 .
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.
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%.
9783030902872
10.1007/978-3-030-90287-2 doi
Data mining
Gestión del conocimiento
QA76.9.D343 / 2022 EB
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.
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%.
9783030902872
10.1007/978-3-030-90287-2 doi
Data mining
Gestión del conocimiento
QA76.9.D343 / 2022 EB