9783642374524-3642374522-Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I (Lecture Notes in Computer Science, 7818)

Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I (Lecture Notes in Computer Science, 7818)

ISBN-13: 9783642374524
ISBN-10: 3642374522
Edition: 2013
Author: Jian Pei, Guandong Xu, Hiroshi Motoda, Vincent S. Tseng, Longbing Cao
Publication date: 2013
Publisher: Springer
Format: Paperback 632 pages
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Book details

ISBN-13: 9783642374524
ISBN-10: 3642374522
Edition: 2013
Author: Jian Pei, Guandong Xu, Hiroshi Motoda, Vincent S. Tseng, Longbing Cao
Publication date: 2013
Publisher: Springer
Format: Paperback 632 pages

Summary

Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I (Lecture Notes in Computer Science, 7818) (ISBN-13: 9783642374524 and ISBN-10: 3642374522), written by authors Jian Pei, Guandong Xu, Hiroshi Motoda, Vincent S. Tseng, Longbing Cao, was published by Springer in 2013. With an overall rating of 3.6 stars, it's a notable title among other AI & Machine Learning (Data Mining, Databases & Big Data, Computer Science) books. You can easily purchase or rent Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I (Lecture Notes in Computer Science, 7818) (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 two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

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