Advanced Data Mining and Applications

Hiroshi Motoda

ISBN 10: 3642539130 / ISBN 13: 9783642539138

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2014, 2014

Riguardo questo articolo

Neuware -The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 612 pp. Englisch.

Codice articolo 9783642539138

Dati bibliografici

• Titolo: Advanced Data Mining and Applications
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2014
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 3642539130
• ISBN 13: 9783642539138
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013.
The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.