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Advances in Knowledge Discovery and Data Mining
. Ed(S): Khan, Latifur; Bailey, James; Washio, Takashi; Dobbie, Gill; Huang, Joshua Zhexue; Wang, Ruili
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Description for Advances in Knowledge Discovery and Data Mining
Paperback. Editor(s): Khan, Latifur; Bailey, James; Washio, Takashi; Dobbie, Gill; Huang, Joshua Zhexue; Wang, Ruili. Series: Lecture Notes in Computer Science. Num Pages: 596 pages, 156 black & white illustrations, biography. BIC Classification: UNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 31. Weight in Grams: 902.
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.Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
596
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
572
Place of Publication
Cham, Switzerland
ISBN
9783319317496
SKU
V9783319317496
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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