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Advances in Knowledge Discovery and Data Mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II / edited by Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen, Hung-Yu Kao.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Tseng, Vincent S., editor.
Ho, Tu Bao, editor.
Zhou, Zhi-Hua (Computer scientist), editor.
Chen, Arbee L. P., editor.
Kao, Hung-Yu, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 8444.
Lecture Notes in Artificial Intelligence ; 8444
Language:
English
Subjects (All):
Data mining.
Artificial intelligence.
Information storage and retrieval.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Information Storage and Retrieval.
Local Subjects:
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Information Storage and Retrieval.
Physical Description:
1 online resource (XXX, 624 pages) : 170 illustrations.
Edition:
First edition 2014.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.
Contents:
Recommendation
Feature selection and reduction
Machine learning
Temporal and spatial data
Novel algorithms
Clustering
Biomedical data mining
Stream mining
Outlier and anomaly detection
Multi-sources mining
Unstructured data and text mining.
Other Format:
Printed edition:
ISBN:
978-3-319-06605-9
9783319066059
Access Restriction:
Restricted for use by site license.

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