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Advances in Knowledge Discovery and Data Mining

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

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Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence

Advances in Knowledge Discovery and Data Mining

20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II

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

Computers / Data Science / Data Analytics

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.

Publication Date: 12 April 2016
Publisher: Springer International Publishing
Imprint: Springer
ISBN-13: 9783319317496
Format: Paperback softback
Page Count: 572

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