A classification algorithm based on explanation could be put into the category of heuristicclassification in knowledge engineering.
基于解释的分类算法可纳入知识工程中启发式分类的范畴。
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We deal with the inconsistency through classification accuracy, using heuristic algorithms we can get a set of minimal productive rules satisfying the given classification accuracy.
This paper introduces the classification model of random decision tree and how to heuristic selected the depth and the number, the experiment shows that the algorithm is effectiveness and efficiency.