Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices
Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices
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DOI：
10.1007/11908029_71
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发表时间：
2006-11
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影响因子：
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通讯作者：
H. Abe;S. Tsumoto;M. Ohsaki;Takahira Yamaguchi
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文献类型：
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作者：
H. Abe;S. Tsumoto;M. Ohsaki;Takahira Yamaguchi
本文提出了一种基于客观指标的规则评价模型，对挖掘结果后处理的规则评价支持方法进行评价。为了减少数据挖掘后处理中的关键步骤之一规则评估任务的成本，我们开发了规则评估支持方法，规则评估模型，这些模型是由挖掘出的分类规则的客观指标和人类专家对每个规则的评估得到的。然后，我们已经评估了学习算法的性能，以脑膜炎数据挖掘作为一个实际问题，从10种UCI数据集的10个规则集作为一篇文章的问题，构建规则评估模型。这些结果表明，我们的规则评估支持方法的可用性。
We present an evaluation of a rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices in this paper. To reduce the costs of rule evaluation task, which is one of the key procedures in data mining post-processing, we have developed the rule evaluation support method with rule evaluation models, which are obtained with objective indices of mined classification rules and evaluations of a human expert for each rule. Then we have evaluated performances of learning algorithms for constructing rule evaluation models on the meningitis data mining as an actual problem, and ten rule sets from the ten kinds of UCI datasets as an article problem. With these results, we show the availability of our rule evaluation support method.