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The quantitative association rules mining method is difficult for their values are too large. The usual means is dividing quantitative Data to discrete conception. The trapezium Cloud model combines ambiguity and randomness organically to fit the real world objectively, divide quantitative Data with trapezium Cloud model to create concepts, the concept cluster within one class, and separated with...
With the rapid development of Internet technology in recent years, Electronic Commerce has been an inevitable product of the economy, the science and the technology. This paper takes an online bookstore platform as a background, introduces the definition, functions, process and common analytical techniques of data mining. In the end, the experiment on association rules mining from the order data of...
Minimize false positive and false negative is one of the difficult problems of network traffic analysis. This paper propose a large-scale communications network traffic feature analysis method using multiple time series data mining, analyze multiple traffic feature time series as a whole, produce valid association rules of abnormal network traffic feature, characterize the entire communication network...
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