Advances in Knowledge Discovery and Data Mining: 21st Pacific-asia Conference, Pakdd 2017, Jeju, South Korea, May 23-26, 2017, Proceedings: 10235 - Brossura

Brossura

ISBN 10: 3319575287 ISBN 13: 9783319575285

Casa editrice: Springer-Nature New York Inc, 2017

Riassunto

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.

Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3319575287
• ISBN 13: 9783319575285
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 892
• Redattore: Kim Jinho, Shim Kyuseok, Cao Longbing, Lee Jae-gil, Lin Xuemin
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania