首页> 外文会议>International Conference on Electronic Business(ICEB 2004) vol.2; 20041205-09; Beijing(CN) >Discovering Fuzzy Functional Dependencies as Semantic Knowledge in Large Databases
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Discovering Fuzzy Functional Dependencies as Semantic Knowledge in Large Databases

机译:在大型数据库中发现作为语义知识的模糊功能依赖关系

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摘要

Fuzzy functional dependency (FFD) is a kind of semantic knowledge and can be discovered from a large volume of business data. Sectional FFD and Attribute FFD are discussed so as to reflect semantics of the business world and express useful information that is natural for people to comprehend. The experimental results on an insurance data set show that the proposed method can extract knowledge efficiently and effectively.
机译:模糊功能依赖关系(FFD)是一种语义知识,可以从大量业务数据中发现。讨论了部分FFD和属性FFD,以反映商业世界的语义并表达人们理解的有用信息。在保险数据集上的实验结果表明,该方法可以有效地提取知识。

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