Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Artificial Intelligence, 10234
Release date:	April 2017
First published:	2017
Editors:	Jinho Kim • Kyuseok Shim • Longbing Cao • Jae-Gil Lee • Xuemin Lin • Yang-Sae Moon
Dimensions:	235 x 155 x 44mm (L x W x T)
Format:	Paperback
Pages:	841
Edition:	1st ed. 2017
ISBN-13:	978-3-319-57453-0
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-57453-1
Barcode:	9783319574530

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