Advances in Knowledge Discovery and Data Mining :
Tan, Pang-Ning.
Advances in Knowledge Discovery and Data Mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 – June 1, 2012, Proceedings, Part II / edited by Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey. - xxiv, 445 páginas recurso en línea. - Lecture Notes in Computer Science, 7302 0302-9743 ; .
Springer eBooks
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.
9783642302206
10.1007/9783642302206 doi
Q334-342
Advances in Knowledge Discovery and Data Mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 – June 1, 2012, Proceedings, Part II / edited by Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey. - xxiv, 445 páginas recurso en línea. - Lecture Notes in Computer Science, 7302 0302-9743 ; .
Springer eBooks
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.
9783642302206
10.1007/9783642302206 doi
Q334-342