Decision Making with Uncertainty and Data Mining

نویسندگان

  • David L. Olson
  • Desheng Dash Wu
چکیده

Complex networks and networked data mining p. 10 In-depth data mining and its application in stock market p. 13 Relevance of counting in data mining tasks p. 14 Term graph model for text classification p. 19 A latent usage approach for clustering Web transaction and building user profile p. 31 Mining quantitative association rules on overlapped intervals p. 43 An approach to mining local causal relationships from databases p. 51 Mining least relational patterns from multi relational tables p. 59 Finding all frequent patterns starting from the closure p. 67 Multiagent association rules mining in cooperative learning systems p. 75 VisAR : a new technique for visualizing mined association rules p. 88 An efficient algorithm for mining both closed and maximal frequent free subtrees using canonical forms p. 96 E-CIDIM : ensemble of CIDIM classifiers p. 108 Partially supervised classification-based on weighted unlabeled samples support vector machine p. 118 Mining correlated rules for associative classification p. 130 A comprehensively sized decision tree generation method for interactive data mining of very large databases p. 141 Using latent class models for neighbors selection in collaborative filtering p. 149 A polynomial smooth support vector machine for classification p. 157 Reducts in incomplete decision tables p. 165 Learning k-nearest neighbor Naive Bayes for ranking p. 175 One dependence augmented Naive Bayes p. 186 A genetic k-modes algorithm for clustering categorical data p. 195 A fast fuzzy clustering algorithm for large-scale datasets p. 203 Clustering with noising method p. 209 Extracting the representative failure executions via clustering analysis based on Markov profile model p. 217 Improvement on the approximation bound for fuzzy-neural networks clustering method with gaussian membership function p. 225 Optimal fuzzy modeling based on minimum cluster volume p. 232 An efficient clustering approach for large document collections p. 240 Clustering categorical data using coverage density p. 248 A new support vector machine for data mining p. 256 The infinite polynomial kernel for support vector machine p. 267 Routing attribute data mining based on rough set theory p. 276 A novel data mining method based on ant colony algorithm p. 284 Context-sensitive regression analysis for distributed data p. 292 Customer churn prediction using improved one-class support vector machine p. 300 The application of adaptive partitioned random search in feature selection problem p. 307 Heuristic scheduling of concurrent data mining queries p. 315 Using gap-insensitive string kernel to detect masquerading p. 323 A new method …

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تاریخ انتشار 2005