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In this paper, for the refinement of the database in data mining, by synthetically analyzing the characteristics of the current attribute reduction methods and decision tree algorithm, we put forward formalized description model of rule knowledge, and establish a kind of attribute reduction method (BD-RED) of decision tree by using similarity between rules families. Further, we discuss the construction...
In the inductive learning, if example bank has noise, it is hard to obtain decision trees with high precision, that is, it is hard to obtain knowledge with high credibility. So, this paper puts forward C-ID3 algorithm, by which we compute confidence level of example bank firstly, and further get a kind of decision tree on the basis of traditional ID3 and the credibility obtained. All the theory analysis...
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