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引用次数: 9

摘要

这两种技术在数据库领域的数据挖掘和知识发现中有着广泛的应用。本文从数据挖掘的发展角度介绍了数据挖掘的实际应用,并提出了一个广义的数据挖掘概念模型。此外,为了使数据挖掘过程更适用,还讨论了针对实际问题执行过程的重要注意事项。
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Fuzzy logic and data mining
There are many activities of both technology and its application in data mining and knowledge discovery in database area. In this paper, actual applications of data mining are presented from its development point of view, and a generalized conceptual model of data mining is proposed. Additionally, to make the data mining process more applicable, important notes at the performing process against real world problems are discussed.
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Supporting rough set theory in very large databases using oracle RDBMS Theory of including degrees and its applications to uncertainty inferences Fuzzy decision making through relationships analysis between criteria Stratification structures on a kind of completely distributive lattices and their applications in theory of topological molecular lattices Supporting consensus reaching under fuzziness via ordered weighted averaging (OWA) operators
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