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Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II (Paperback, 2013 ed.) Loot Price: R1,492
Discovery Miles 14 920
Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17,...

Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II (Paperback, 2013 ed.)

Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu

Series: Lecture Notes in Artificial Intelligence, 7819

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Loot Price R1,492 Discovery Miles 14 920 | Repayment Terms: R140 pm x 12*

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The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Artificial Intelligence, 7819
Release date: March 2013
First published: 2013
Editors: Jian Pei • Vincent S. Tseng • Longbing Cao • Hiroshi Motoda • Guandong Xu
Dimensions: 235 x 155 x 31mm (L x W x T)
Format: Paperback
Pages: 588
Edition: 2013 ed.
ISBN-13: 978-3-642-37455-5
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-37455-7
Barcode: 9783642374555

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