| Summary: | 碩士 === 淡江大學 === 資訊工程學系 === 88 === In the current commerce environment, all transactions must be dependent on computer what can process a large number of data quickly and correctly. Moreover, to enhance enterprise''s competition ability, we can find out some hidden regularity from trade data by computer techniques. For example, by consume mart is flourishing in our country, the trade behavior had kept up with advanced country gradually. To using credit card is more popular than to using cash or check. We can foresee that the trade behavior of using credit card should be very important medium at consume mart in the future ；The subject of this case is to analyze credit card data. We grub the regularities of the trade behavior by using the technology of machine learning, OLAP, Data Mining, and show the information we got with simply line up grammar or diagram. We hope that the information is useful for making decision what could decrease risk, cost and increase profit.
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