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Advances in knowledge discovery and management.Volume 10

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in knowledge discovery and management.edited by Rakia Jaziri ... [et al.].
other author:	Jaziri, Rakia.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xvi, 129 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data mining.
Online resource:	https://doi.org/10.1007/978-3-031-40403-0
ISBN:	9783031404030$q(electronic bk.)

Advances in knowledge discovery and management.Volume 10
Advances in knowledge discovery and management.Volume 10[electronic resource] /edited by Rakia Jaziri ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xvi, 129 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 11101860-9503 ;. - Studies in computational intelligence ;v. 216..

1.New Methods for Compressing Table Constraints -- 2.Construction and Elicitation of a Black Box Model in the Game of Bridge -- 3.Knowledge graph publishing with anatomy, toward a new privacy and utility trade-off -- 4.Comparison of Short-Text Embeddings for Unsupervised Event Detection in a Stream of Tweets -- 5.Multilingual Question Answering applied to Conversational Agents -- 6.Reinforcement Learning for Expert Finding from Web Search Results -- List of Contributors -- Author Index.

This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC'2020 conferences held in Paris (France, January 27-31, 2020) It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%) For more details about the EGC society, please consult egc.asso.fr.".

ISBN: 9783031404030$q(electronic bk.)

Standard No.: 10.1007/978-3-031-40403-0doiSubjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Advances in knowledge discovery and management.Volume 10
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520 $a This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC'2020 conferences held in Paris (France, January 27-31, 2020) It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%) For more details about the EGC society, please consult egc.asso.fr.".
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