9783030757670-3030757676-Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III (Lecture Notes in Computer Science)

Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III (Lecture Notes in Computer Science)

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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 III (Lecture Notes in Computer Science) (ISBN-13: 9783030757670 and ISBN-10: 3030757676), written by authors Hong Cheng, Naren Ramakrishnan, Tanmoy Chakraborty, Kamal Karlapalem, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, was published by Springer in 2021. With an overall rating of 3.6 stars, it's a notable title among other AI & Machine Learning (Data Processing, Databases & Big Data, Graphics & Design, Algorithms, Programming, Graphics & Multimedia, Schools & Teaching, Computer Science) books. You can easily purchase or rent Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III (Lecture Notes in Computer Science) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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