Advances in Knowledge Discovery and Data Mining
20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
Published on 19. May 2016
Book
Paperback/Softback
XXIV, 608 pages
978-3-319-31752-6 (ISBN)
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.More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
184 s/w Abbildungen
XXIV, 608 p. 184 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 34 mm
Weight
943 gr
ISBN-13
978-3-319-31752-6 (9783319317526)
DOI
10.1007/978-3-319-31753-3
Schweitzer Classification
Other editions
Additional editions
James Bailey | Latifur Khan | Takashi Washio
Advances in Knowledge Discovery and Data Mining
20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I
E-Book
04/2016
Springer
€53.49
Available for download
Content
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.