An rules extraction algorithm of decision tree based on rough set theory
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Abstract:
A new attribute dependency and significance were defined with the independent check theory of the statistical aiming at the disadvantages of the standard for choosing the attributes of the branch nodes with the information gain in the ID3 algorithm.An algorithm for rules extraction of decision tree was designed.The new attribute significance was used as the heuristic information in which.The experiment and comparison show that the algorithm provides more precise and simple decision tree.
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CHEN Jian-hui, CHEN Zhen. An rules extraction algorithm of decision tree based on rough set theory[J].,2008,25(1):108-110