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Advances in Knowledge Discovery and Data Mining, Part I - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June1, 2012, Proceedings, Part I (Paperback)
Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey
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R1,667
Discovery Miles 16 670
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Ships in 10 - 15 working days
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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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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 (Paperback, 2012 ed.)
Pang-Ning Tan, Sanjay Chawla, Chin Kuan Ho, James Bailey
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R1,611
Discovery Miles 16 110
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Ships in 10 - 15 working days
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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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New Frontiers in Applied Data Mining - PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008, Revised Selected Papers (Paperback, 2009 ed.)
Sanjay Chawla, Takashi Washio, Shin-ichi Minato, Shusaku Tsumoto, Takashi Onoda, …
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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Asdataminingtechniquesandtoolsmature,
theirapplicationdomainsextendto previousuncharteredterritories.The
commontheme ofthe workshopsorganized along with the main 2008
Paci?c Asia Conference on Knowledge Discovery and Data Mining
(PAKDD) in Osaka, Japan was to extend the application of data
mining techniques to new frontiers. Thus the title of the
proceedings: "New Frontiers in Application of Data Mining." For the
2008 program, three workshops were organized. 1. Algorithms for
Large-Scale Information Processing (ALSIP). The focus of the
workshop was novel algorithms and data structures to deal with p-
cessing of very large data sets. 2. Data Mining for Decision Making
and Risk Management (DMDRM), which emphasized applications of risk
information derived from data mining te- niques on diverse
applications ranging from medicine to marketing to chemistry. 3.
Interactive Data Mining (IDM), which emphasized the relationship
between techniques in data mining and human-computer interaction.
In total 38 papers were submitted to the workshops. After
consultation with theworkshopChairswhowereaskedto ranktheir
submissions,18wereaccepted for publicationin this volume.We hope
that the published papers propelfurther interest in the growing
?eld of knowledge discovery in databases (KDD). The paper selection
of the industrial track and the workshops was made by the Program
Committee of each organization. Upon the paper selection, the book
was edited and managed by the volume editors.
Poor data quality is known to compromise the credibility and
efficiency of commercial and public endeavours. Also, the
importance of managing data quality has increased manifold as the
diversity of sources, formats and volume of data grows. This volume
targets the data quality in the light of collaborative information
systems where data creation and ownership is increasingly difficult
to establish.
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