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In data classification mining, the decision tree method is a key algorithm. ID3 (Iterative Dichotomiser 3) algorithm which was presented by Quinlan is a famous decision tree algorithms, but ID3 has some shortcomings such as high complex computation in computing the information entropy expression, multivalue bios problem in the process of selecting an optimal attribute, large scales, etc. In order...
To meet the personalized needs of Web user, a new method combine decision tree base on WEB log with multidimensional data and evidence theory is proposed. This paper first generalizes the concept hierarchies in uncertain database, and then extends the decision tree technique to an uncertain environment where the uncertain is represented by evidence theory. This evidence theory concept hierarchy decision...
In order to solve the classification problems of customer behaviors with randomicity and non-conformability, a combination classification method is proposed of multiple decision trees based on genetic algorithm. In this method, multiple decision trees that adopt the method of probability measurement level output are combined in parallel. Genetic algorithm is utilized to optimize connection weight...
During the course of decision-making in case-based planning, users' experience and knowledge is very significant. This paper discusses how to incorporate them into PLANAUTHOR, a case-based planning system developed by us, before making a decision. Using templates, the authors give a new method, integrating case-based reasoning with decision tree algorithm, to make a multistep decision in case-based...
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