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Advances in Knowledge Discovery and Management: Volume 9 de Rakia Jaziri

Advances in Knowledge Discovery and Management: Volume 9: Studies in Computational Intelligence, cartea 1004

Editat de Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet
en Limba Engleză Hardback – 15 mar 2022
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%.
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Specificații

ISBN-13: 9783030902865
ISBN-10: 3030902862
Pagini: 200
Ilustrații: XVI, 200 p. 87 illus., 36 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.49 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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%.

Caracteristici

Presents representative and novel works in the field of data science and classification Recent research in Knowledge Discovery and Management Carefully edited post-proceedings book