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Advances in Knowledge Discovery and Data Mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I
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...
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| Auteurs principaux : | , , , |
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| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Advances in Knowledge Discovery and Data Mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I / edited by Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey. |
| Édition : | 1st ed. 2012. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2012 |
| Collection : | Lecture Notes in Artificial Intelligence ; 7301 |
| Accès en ligne : |
Accès Nantes Université
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| Sujets : | |
| Documents associés : | Autre format:
Advances in Knowledge Discovery and Data Mining Autre format: Advances in Knowledge Discovery and Data Mining, Part I |
| Résumé : | 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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| Configuration requise : | Nécessite un lecteur de fichier PDF |
| ISBN : | 978-3-642-30217-6 |