Advances in Knowledge Discovery and Data Mining 1

Data & IT

Advances in Knowledge Discovery and Data Mining

James Bailey • Latifur Khan • Takashi Washio • Gill Dobbie • Joshua Zhexue Huang

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572 sidor
2016

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.

Författare: James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang
Illustratör: Bibliographie
Format: Pocket/Paperback
ISBN: 9783319317496
Språk: Engelska
Antal sidor: 572
Utgivningsdatum: 2016-04-12
Förlag: Springer International Publishing AG