Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part II

Author:   Pang-Ning Tan ,  Sanjay Chawla ,  Chin Kuan Ho ,  James Bailey
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2012 ed.
Volume:   7302
ISBN:  

9783642302190


Pages:   445
Publication Date:   26 April 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part II


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Overview

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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Author:   Pang-Ning Tan ,  Sanjay Chawla ,  Chin Kuan Ho ,  James Bailey
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012 ed.
Volume:   7302
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   0.708kg
ISBN:  

9783642302190


ISBN 10:   364230219
Pages:   445
Publication Date:   26 April 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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