ENGLISH

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

By Latifur Khan , Takashi Washio , Joshua Zhexue Huang , James Bailey , Gill Dobbie , Ruili Wang (eds.)

Book information

Publisher
Springer International Publishing
Year
2016
ISBN
978-3-319-31749-6, 978-3-319-31750-2
DOI
10.1007/978-3-319-31750-2
Language
english
Format
PDF
Filesize
31 MB (32107014 bytes)
Series
Lecture Notes in Computer Science 9652
Edition
1
Pages
XXIV, 572\587
Time added
2016-07-20 04:00:00
Data Mining and Knowledge Discovery; Artificial In

Description

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.

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