New Frontiers in Applied Data Mining

Inhalt

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.