9783642355264-3642355269-Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings (Lecture Notes in Computer Science, 7713)

Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings (Lecture Notes in Computer Science, 7713)

ISBN-13: 9783642355264
ISBN-10: 3642355269
Edition: 2012
Author: George Karypis, Shuigeng Zhou, Songmao Zhang
Publication date: 2012
Publisher: Springer
Format: Paperback 813 pages
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Book details

ISBN-13: 9783642355264
ISBN-10: 3642355269
Edition: 2012
Author: George Karypis, Shuigeng Zhou, Songmao Zhang
Publication date: 2012
Publisher: Springer
Format: Paperback 813 pages

Summary

Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings (Lecture Notes in Computer Science, 7713) (ISBN-13: 9783642355264 and ISBN-10: 3642355269), written by authors George Karypis, Shuigeng Zhou, Songmao Zhang, was published by Springer in 2012. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings (Lecture Notes in Computer Science, 7713) (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

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

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