9783031059803-3031059808-Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III (Lecture Notes in Artificial Intelligence)

Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III (Lecture Notes in Artificial Intelligence)

ISBN-13: 9783031059803
ISBN-10: 3031059808
Edition: 1st ed. 2022
Author: Fei Teng, Yang Yu, Yu Zheng, Joao Gama, Tianrui Li, Enhong Chen
Publication date: 2022
Publisher: Springer
Format: Paperback 400 pages
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Book details

ISBN-13: 9783031059803
ISBN-10: 3031059808
Edition: 1st ed. 2022
Author: Fei Teng, Yang Yu, Yu Zheng, Joao Gama, Tianrui Li, Enhong Chen
Publication date: 2022
Publisher: Springer
Format: Paperback 400 pages

Summary

Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III (Lecture Notes in Artificial Intelligence) (ISBN-13: 9783031059803 and ISBN-10: 3031059808), written by authors Fei Teng, Yang Yu, Yu Zheng, Joao Gama, Tianrui Li, Enhong Chen, was published by Springer in 2022. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III (Lecture Notes in Artificial Intelligence) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.58.

Description

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China.
The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows:
Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

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