Title: Decision Tree Algorithm Based on Association Rules
Abstract: This paper combines association rules and decision tree algorithm,and proposes a new decision tree classification based on association rule.The decision tree algorithm can handle dissimilar transaction data set record blocks which are same investigations conducted in different times to the same transactions.Through the decision tree algorithm,it can get a multi-crunodes decision tree,which has a good extendable performance.The algorithm solves the problem,which exists in the traditional classification,that is the traditional classification can not classify effectively and sustaine when dimensions of dataset change.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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Cited By Count: 1
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