Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I (Lecture Notes in Computer Science, 10234)
ISBN-13:
9783319574530
ISBN-10:
3319574531
Edition:
1st ed. 2017
Author:
Jinho Kim, Xuemin Lin, Longbing Cao, Yang-Sae Moon, Kyuseok Shim, Jae-Gil Lee
Publication date:
2017
Publisher:
Springer
Format:
Paperback
873 pages
FREE US shipping
Book details
ISBN-13:
9783319574530
ISBN-10:
3319574531
Edition:
1st ed. 2017
Author:
Jinho Kim, Xuemin Lin, Longbing Cao, Yang-Sae Moon, Kyuseok Shim, Jae-Gil Lee
Publication date:
2017
Publisher:
Springer
Format:
Paperback
873 pages
Summary
Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I (Lecture Notes in Computer Science, 10234) (ISBN-13: 9783319574530 and ISBN-10: 3319574531), written by authors
Jinho Kim, Xuemin Lin, Longbing Cao, Yang-Sae Moon, Kyuseok Shim, Jae-Gil Lee, was published by Springer in 2017.
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Description
This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.
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