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Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I / / edited by James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang



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Titolo: Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I / / edited by James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XXIV, 608 p. 184 illus.)
Disciplina: 006.312
Soggetto topico: Data mining
Artificial intelligence
Information storage and retrieval
Application software
Database management
Data Mining and Knowledge Discovery
Artificial Intelligence
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Database Management
Persona (resp. second.): BaileyJames <1971 June 30->
KhanLatifur
WashioTakashi
DobbieGill
HuangJoshua Zhexue
WangRuili
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Classification -- Machine learning -- Applications -- Novel methods and algorithms -- Opinion mining and sentiment analysis -- Clustering -- Feature extraction and pattern mining -- Graph and network data -- Spatiotemporal and image data -- Anomaly detection and clustering -- Novel models and algorithms -- Text mining and recommender systems.
Sommario/riassunto: This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.
Titolo autorizzato: Advances in Knowledge Discovery and Data Mining  Visualizza cluster
ISBN: 3-319-31753-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483361803321
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Serie: Lecture Notes in Artificial Intelligence ; ; 9651