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Books > Computing & IT > Applications of computing > Databases > Data mining

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Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I (Paperback, 1st ed. 2016) Loot Price: R3,452

Discovery Miles 34 520

Repayment Terms: R324 pm x 12*

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Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22,...

Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I (Paperback, 1st ed. 2016)

James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang

Series: Lecture Notes in Computer Science, 9651

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Loot Price R3,452 Discovery Miles 34 520 | Repayment Terms: R324 pm x 12*

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This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 9651
Release date:	April 2016
First published:	2016
Editors:	James Bailey • Latifur Khan • Takashi Washio • Gill Dobbie • Joshua Zhexue Huang • Ruili Wang
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Paperback
Pages:	608
Edition:	1st ed. 2016
ISBN-13:	978-3-319-31752-6
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-319-31752-0
Barcode:	9783319317526