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Advances in knowledge discovery and ...

Pacific-Asia Conference on Knowledge Discovery and Data Mining (2019 :)

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Advances in knowledge discovery and data mining = 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : 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 Qiang Yang ... [et al.].
其他題名:	23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.
其他題名:	PAKDD 2019
其他作者:	Yang, Qiang.
團體作者:	Pacific-Asia Conference on Knowledge Discovery and Data Mining
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xl, 627 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data mining - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-16148-4
ISBN:	9783030161484

Advances in knowledge discovery and data mining = 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.. Part I /
Advances in knowledge discovery and data mining23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019 : proceedings.Part I /[electronic resource] :PAKDD 2019edited by Qiang Yang ... [et al.]. - Cham :Springer International Publishing :2019. - xl, 627 p. :ill., digital ;24 cm. - Lecture notes in computer science,114390302-9743 ;. - Lecture notes in computer science ;11439..

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 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: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

ISBN: 9783030161484

Standard No.: 10.1007/978-3-030-16148-4doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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