9783319066073-3319066072-Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I (Lecture Notes in Computer Science, 8443)

Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I (Lecture Notes in Computer Science, 8443)

ISBN-13: 9783319066073
ISBN-10: 3319066072
Edition: 2014
Author: Tu-Bao Ho, Zhi-Hua Zhou, Vincent S. Tseng, Arbee L.P. Chen, Hung-Yu Kao
Publication date: 2014
Publisher: Springer
Format: Paperback 652 pages
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ISBN-13: 9783319066073
ISBN-10: 3319066072
Edition: 2014
Author: Tu-Bao Ho, Zhi-Hua Zhou, Vincent S. Tseng, Arbee L.P. Chen, Hung-Yu Kao
Publication date: 2014
Publisher: Springer
Format: Paperback 652 pages

Summary

Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I (Lecture Notes in Computer Science, 8443) (ISBN-13: 9783319066073 and ISBN-10: 3319066072), written by authors Tu-Bao Ho, Zhi-Hua Zhou, Vincent S. Tseng, Arbee L.P. Chen, Hung-Yu Kao, was published by Springer in 2014. With an overall rating of 3.8 stars, it's a notable title among other books. You can easily purchase or rent Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I (Lecture Notes in Computer Science, 8443) (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 $0.3.

Description

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

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