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- W77690704 abstract "Decision tree is one of the most effective and widely used methods for buildingclassification model. Researchers from various disciplines such as statistics, machine learning,pattern recognition, and data mining have considered the decision tree method as an effectivesolution to their field problems. In this paper, an application of decision tree method to classify the faults of induction motors is proposed. The original data from experiment is dealt with feature calculation to get the useful information as attributes. These data are then assigned the classes which are based on our experience before becoming data inputs for decision tree. The total 9 classes are defined. An implementation of decision tree written in Matlab is used for these data." @default.
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- W77690704 date "2006-01-01" @default.
- W77690704 modified "2023-09-27" @default.
- W77690704 title "An application of decision trees method for fault diagnosis of induction motors" @default.
- W77690704 hasPublicationYear "2006" @default.
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