Implementation and Analysis of the Parallel Genetic Rule and Classifier Construction Environment
David M. Strong
Broschiertes Buch

Implementation and Analysis of the Parallel Genetic Rule and Classifier Construction Environment

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This paper discusses the Genetic Rule and Classifier Construction Environment (GRaCCE), which is an alternative to existing decision rule induction (DRI) algorithms. GRaCCE is a multi-phase algorithm which uses evolutionary search to mine classification rules from data. The current implementation uses a genetic algorithm based 0/1 search to reduce the number of features to a minimal set of features that make the most significant contributions to the classification of the input data set. This feature selection increases the efficiency of the rule induction algorithm that follows. However, featu...