| Summary: | 碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 91 === The online shopping is getting popular in Taiwan. According to NetValue latest report, the user online shopping are getting more and more, average there is 15 percentage on growth every season, and online shopping have been accept by most of generations.
The research send three major issues. First, we study clustering online user’s profiles. Secondly, classified by the different classification method. Applied can reach different results or not. Finally, classification and comparison results used to construct a final-price prediction mode. The ebay website data is used by K-Means cluster statistic method and SOM（Self-Organization Map） neural network to categorize according to 8 parameters. The classification results are used predict the price by BPN（Back-Propagation Network） neural network model.
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