9783642302190-364230219X-Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302)

Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302)

ISBN-13: 9783642302190
ISBN-10: 364230219X
Edition: 2012
Author: Pang-Ning Tan, James Bailey, Sanjay Chawla, Chin Kuan Ho
Publication date: 2012
Publisher: Springer
Format: Paperback 469 pages
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Book details

ISBN-13: 9783642302190
ISBN-10: 364230219X
Edition: 2012
Author: Pang-Ning Tan, James Bailey, Sanjay Chawla, Chin Kuan Ho
Publication date: 2012
Publisher: Springer
Format: Paperback 469 pages

Summary

Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302) (ISBN-13: 9783642302190 and ISBN-10: 364230219X), written by authors Pang-Ning Tan, James Bailey, Sanjay Chawla, Chin Kuan Ho, was published by Springer in 2012. 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, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, ... II (Lecture Notes in Computer Science, 7302) (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 7301 and 7302 constitutes the refereed proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2012, held in Kuala Lumpur, Malaysia, in May 2012. The total of 20 revised full papers and 66 revised short papers were carefully reviewed and selected from 241 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas. The papers are organized in topical sections on supervised learning: active, ensemble, rare-class and online; unsupervised learning: clustering, probabilistic modeling in the first volume and on pattern mining: networks, graphs, time-series and outlier detection, and data manipulation: pre-processing and dimension reduction in the second volume.

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