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Advances in knowledge discovery and ...

Lauw, Hady W.

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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in knowledge discovery and data mining/ edited by Hady W. Lauw ... [et al.].
其他題名:	24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.
其他題名:	PAKDD 2020
其他作者:	Lauw, Hady W.
團體作者:	PAKDD (Conference)
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xxxvii, 886 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Data mining - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-47426-3
ISBN:	9783030474263

Advances in knowledge discovery and data mining = 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.. Part I /
Advances in knowledge discovery and data mining24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020 : proceedings.Part I /[electronic resource] :PAKDD 2020edited by Hady W. Lauw ... [et al.]. - Cham :Springer International Publishing :2020. - xxxvii, 886 p. :ill., digital ;24 cm. - Lecture notes in computer science,120840302-9743 ;. - Lecture notes in computer science ;12084..

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.

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.

ISBN: 9783030474263

Standard No.: 10.1007/978-3-030-47426-3doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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