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[null,"1.","Record Nr.",null,"UNISA996466424903316"]
[null,null,"Titolo",null,"New Frontiers in Applied Data Mining [[electronic resource] ] : PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2010. Revised Selected Papers / / edited by Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham Williams"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010"]
[null,null,"ISBN",null,"1-280-38812-9"]
[{"$nulls":4},"9786613566041"]
[{"$nulls":4},"3-642-14640-6"]
[null,null,"Edizione",null,"[1st ed. 2010.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 169 p. 58 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 5669"]
[null,null,"Disciplina",null,"006.3/12"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Information storage and retrieval"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Pattern Recognition"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"The iZi Project: Easy Prototyping of Interesting Pattern Mining Algorithms -- CODE: A Data Complexity Framework for Imbalanced Datasets -- An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data -- Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains -- Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams -- Two Measures of Objective Novelty in Association Rule Mining -- PAKDD Data Mining "]
[{"$nulls":4},"Competition 2009: New Ways of Using Known Methods -- Feature Selection for Brain-Computer Interfaces -- Mining Protein Interactions from Text Using Convolution Kernels -- Missing Phrase Recovering by Combining Forward and Backward Phrase Translation Tables -- Automatic Extraction of Thai-English Term Translations and Synonyms from Medical Web using Iterative Candidate Generation with Association Measures -- Accurate Subsequence Matching on Data Stream under Time Warping Distance."]