A classification algorithm based on explanation could be put into the category of heuristic classification 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.

通过分类正确度有效处理了决策表的不一致性，采用启发式算法，挖掘出满足给定精确度的最简产生式规则知识。

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In this article, we introduce a new heuristic based on the importance of attribute contributing to the classification.

文中提出了一种新的启发式算法，它是基于属性对于分类的重要程度的。

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