Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining

von

Karlapalem, KamalHrsg.Cheng, HongHrsg.Ramakrishnan, NarenHrsg.Agrawal, R. K.Hrsg.Reddy, P. KrishnaHrsg.Srivastava, JaideepHrsg.Chakraborty, TanmoyHrsg.

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Beschreibung

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.
The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows:

Part I: Applications of knowledge discovery and data mining of specialized data;

Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;

Part III: Representation learning and embedding, and learning from data.

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