Discovered Rule Filtering Using Information Retrieval Technique
Discovered Rule Filtering Using Information Retrieval Technique
复制标题
使用信息检索技术发现规则过滤
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
Y. Kitamura
中科院分区：
文献类型：
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作者：
Y. Kitamura
数据挖掘系统可以通过挖掘海量数据半自动地发现知识，但发现的知识对用户来说并不总是新奇和有趣的。我们提出了一种发现规则过滤方法，用于过滤数据挖掘系统发现的规则，并利用信息检索技术产生用户感兴趣的新奇规则。在该方法中，我们根据从互联网上检索信息的结果来对发现的规则进行排序。本文以临床数据挖掘和MEDLINE文档检索为例，说明了发现规则过滤的步骤。初步结果表明，该方法不仅在过滤已发现的规则方面具有优势，而且为规则提供了一个新的视角，为调用新的数据挖掘过程提供了机会。
A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and interesting to the user. We propose a discovered rule filtering method to filter rules discovered by a data mining system and to produce ones that are novel and interesting to the user by using information retrieval technique. In the method, we rank discovered rules according to the result of information retrieval from the Internet. In this paper, we show the steps of discovered rule filtering by using a concrete example of clinical data mining and MEDLINE document retrieval. Preliminary results show that this method has merits in not only filtering discovered rules but also providing a new viewpoint to the rules to give a chance to invoke a new data mining process.