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Advances in knowledge discovery and ...

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Advances in knowledge discovery and management.. Volume 9

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in knowledge discovery and management./ edited by Rakia Jaziri ... [et al.].
其他作者:	Jaziri, Rakia.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xvi, 200 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-030-90287-2
ISBN:	9783030902872

Advances in knowledge discovery and management.. Volume 9
Advances in knowledge discovery and management.Volume 9[electronic resource] /edited by Rakia Jaziri ... [et al.]. - Cham :Springer International Publishing :2022. - xvi, 200 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 10041860-9503 ;. - Studies in computational intelligence ;v. 1004..

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%.

ISBN: 9783030902872

Standard No.: 10.1007/978-3-030-90287-2doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / A38 2022

Dewey Class. No.: 006.312

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