Advances In Knowledge Discovery And Data Mining: 20th Pacific-asia Conference, Pakdd 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Pa by James BaileyAdvances In Knowledge Discovery And Data Mining: 20th Pacific-asia Conference, Pakdd 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Pa by James Bailey

Advances In Knowledge Discovery And Data Mining: 20th Pacific-asia Conference, Pakdd 2016, Auckland…

byJames BaileyEditorLatifur Khan, Takashi Washio

Paperback | May 19, 2016

Pricing and Purchase Info

$131.59 online 
$156.50 list price save 15%
Earn 658 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

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.
Title:Advances In Knowledge Discovery And Data Mining: 20th Pacific-asia Conference, Pakdd 2016, Auckland…Format:PaperbackDimensions:608 pages, 23.5 × 15.5 × 0.17 inPublished:May 19, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319317520

ISBN - 13:9783319317526

Reviews

Table of Contents

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.- Text mining and recommender systems.