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Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I

Edited by Jinho Kim, Edited by Kyuseok Shim, Edited by Longbing Cao, Edited by Jae-Gil Lee, Edited by Xuemin Lin, Edited by Yang-Sae Moon

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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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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer International Publishing AG
Published date | 23 Apr 2017
Language |
Format | Paperback / softback
Pages | 841
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3195-7453-0
Readership Age |
BISAC | computers / database management / data mining

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