基于奇异值的切片挖掘

Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007) Pub Date : 2007-07-30 DOI:10.1109/SNPD.2007.268

Lijie Zhang, Haili Yin, Hui Liu

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引用次数: 0

摘要

切片是在线分析处理中的主要操作之一，在决策支持的应用中起着重要的作用。在数据立方体的基础上，通过挖掘切片的最大奇异值，提出了一种提取运动内部规律的方法。代数理论证明了它是可行的。数值实验也证明了该方法的有效性。

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Slices Mining Based on Singular Value

Slice is one of the major operations in on-line analysis processing which has played an important role in the application of decision support. Based on data cube, by mining the maximum singular value of the slices, a method was proposed in this paper to extract the inner rules of movement. Algebraic theories proved that it is feasible. And the numerical experiment also demonstrated that it is efficient.

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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)

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