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[null,null,"Titolo",null,"Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings / / edited by Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu-Bao Ho"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009"]
[null,null,"ISBN",null,"3-642-01307-4"]
[null,null,"Edizione",null,"[1st ed. 2009.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIV, 1076 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 5476"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Multimedia information systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[{"$nulls":4},"Multimedia Information Systems"]
[{"$nulls":4},"Computer Appl. in Administrative Data Processing"]
[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","International conference proceedings."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Keynote Speeches -- Regular Papers -- Short Papers."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems."]