A Rule Set Generation Technique for Better Decision Making

Provided by: AICIT
Topic: Big Data
Format: PDF
A rule set generation technique based on a generated decision tree is suggested for better decision making to compensate the weak point of decision trees sub-optimality. An association rule finding method is applied with the information of the terminal nodes of the decision tree to find a good rule set. The number of training examples belonging to the leaves of the decision tree is utilized to supply the values of minimum support for the association rule finding method. An experiment illustrates that the method may find some of better decision rules.

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