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Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I /

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Karlapalem, Kamal (Editor), Cheng, Hong (Editor), Ramakrishnan, Naren (Editor), Agrawal, R. K. (Editor), Reddy, P. Krishna (Editor), Srivastava, Jaideep (Editor), Chakraborty, Tanmoy (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Lecture Notes in Artificial Intelligence ; 12712
Subjects:
Artificial intelligence.
Data mining.
Application software.
Computer communication systems.
Algorithms.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Computer Appl. in Social and Behavioral Sciences.
Computer Communication Networks.
Algorithm Analysis and Problem Complexity.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource (XXXV, 834 pages 30 illustrations)
ISBN:9783030757625
DOI:10.1007/978-3-030-75762-5