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[null,"1.","Record Nr.",null,"UNISA996465700103316"]
[null,null,"Titolo",null,"Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II / / edited by James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-31750-4"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIV, 572 p. 156 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 9652"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Database Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"Classification -- Machine learning -- Applications -- Novel methods and algorithms -- Opinion mining and sentiment analysis -- Clustering -- Feature extraction and pattern mining -- Graph and network data -- Spatiotemporal and image data -- Anomaly detection and clustering -- Novel models and algorithms -- Text mining and recommender systems."]
[null,null,null,"Sommario/riassunto","This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; "]
[{"$nulls":4},"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."]