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- W2360853795 abstract "Agent Building and Learning Environment(ABLE) is a Java-based framework for development and deployment of intelligent agents with learning abilities.The enhancement of the decision tree algorithm used in ABLE is studied.A fuzzy factor is introduced to calculate the information gain of an attribute during the course of the algorithm.Experimental results on UCI benchmark show that the enhanced algorithm can classify data in an easier and more effective manner,without loss of accuracy.The number of rules generated can be significantly reduced when a large 1data set is encountered." @default.
- W2360853795 created "2016-06-24" @default.
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- W2360853795 date "2008-01-01" @default.
- W2360853795 modified "2023-09-23" @default.
- W2360853795 title "Application of fuzzy factor in enhancement of decision tree algorithm used in agent building and learning environment" @default.
- W2360853795 hasPublicationYear "2008" @default.
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