可入到 发表于 2025-3-21 19:19:20

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intoxicate 发表于 2025-3-21 21:53:22

Causality in Databases,cepts are defined in Section 4.2. In Section 4.3 we first define a ‘good partition’ for generating item variables from items, and we then present a method of mining causality of interest from large databases. In Section 4.4 we advocate an approach for finding dependencies among variables. In Section

漂亮才会豪华 发表于 2025-3-22 00:43:29

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adj忧郁的 发表于 2025-3-22 08:24:37

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/163505.jpg

exclusice 发表于 2025-3-22 09:05:48

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terazosin 发表于 2025-3-22 14:09:18

978-3-540-43533-4Springer-Verlag Berlin Heidelberg 2002

G-spot 发表于 2025-3-22 17:21:13

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离开就切除 发表于 2025-3-22 22:54:57

Étienne André,Didier Lime,Mathias Ramparisonation rule mining in this chapter, we will concentrate on introducing data mining techniques..In Section 1.1 we begin with explaining what data mining is. In Section 1.2 we argue as to why data mining is needed. In Section 1.3 we recall the process of knowledge discovery in databases (KDD). In Secti

annexation 发表于 2025-3-23 04:00:06

Lecture Notes in Computer Sciencesearch into the improvement of association rule mining techniques is also introduced to clarify the process. The chapter is organized as follows. In Section 2.1, we begin by outlining certain necessary basic concepts. Some measurements of association rules are discussed in Section 2.2. In Section 2.

abject 发表于 2025-3-23 05:56:21

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查看完整版本: Titlebook: Association Rule Mining; Models and Algorithm Chengqi Zhang,Shichao Zhang Textbook 2002 Springer-Verlag Berlin Heidelberg 2002 Algorithmic