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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.

Medverkande: Materialtyp: TextSerie: Utgivningsuppgift: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010Utgåva: 1st ed. 2010Beskrivning: XII, 169 p. 58 illus. online resourceInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783642146404
Ämnen: DDK-klassifikation:
  • 006.3 23
Onlineresurser:
Innehåll:
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 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.
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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 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.

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