Advances in Knowledge Discovery and Data Mining: 24th Pacific-asia Conference, Pakdd 2020, Singapore, May 11–14, 2020, Proceedings - Couverture souple

9783030474256: Advances in Knowledge Discovery and Data Mining: 24th Pacific-asia Conference, Pakdd 2020, Singapore, May 11–14, 2020, Proceedings

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ISBN 10 : 3030474259 ISBN 13 : 9783030474256

Editeur : Springer Nature Switzerland AG, 2020

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The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic.

The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer Nature Switzerland AG
Date d'�dition: 2020
Langue: anglais
ISBN 10: 3030474259
ISBN 13: 9783030474256
Reliure: Broch�
Nombre de pages: 923
�diteur: Lauw Hady W., Wong Raymond Chi-Wing, Ntoulas Alexandros, Lim Ee-Peng, Ng See-Kiong, Pan Sinno Jialin
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Advances in Knowledge Discovery and Data Mining (eng)

Lauw, Hady W.

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ISBN 10 : 3030474259 ISBN 13 : 9783030474256

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Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I (Lecture Notes in Computer Science, 12084)

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Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I (Lecture Notes in Computer Science, 12084)

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ISBN 10 : 3030474259 ISBN 13 : 9783030474256

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Advances in Knowledge Discovery and Data Mining

Hady W. Lauw

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020.The conference was held virtually due to the COVID-19 pandemic.The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing. 924 pp. Englisch. N� de r�f. du vendeur 9783030474256

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Advances in Knowledge Discovery and Data Mining : 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I

Lauw, Hady W.

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020.&nbspThe conference was he. N� de r�f. du vendeur 448682942

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Advances in Knowledge Discovery and Data Mining | 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I

Hady W. Lauw (u. a.)

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Advances in Knowledge Discovery and Data Mining

Hady W. Lauw

Edit� par Springer International Publishing, Springer Nature Switzerland Mai 2020, 2020

ISBN 10 : 3030474259 ISBN 13 : 9783030474256

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Taschenbuch. Etat : Neu. Neuware -The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic.The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 924 pp. Englisch. N� de r�f. du vendeur 9783030474256

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Advances in Knowledge Discovery and Data Mining : 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11�14, 2020, Proceedings, Part I

Hady W. Lauw

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030474259 ISBN 13 : 9783030474256

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020.The conference was held virtually due to the COVID-19 pandemic.The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing. N� de r�f. du vendeur 9783030474256

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