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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

Author: Vincent S Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L P Chen; Hung-Yu Kao
Publisher: Cham : Springer, 2014.
Series: Lecture notes in computer science, 8444.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
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  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Vincent S Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L P Chen; Hung-Yu Kao
ISBN: 9783319066059 3319066056
OCLC Number: 882943975
Description: 1 online resource (Online-Ressource (XXX, 624 p. 170 illus, online resource).)
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.
Series Title: Lecture notes in computer science, 8444.
Responsibility: edited by Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen, Hung-Yu Kao.

Abstract:

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.

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