| 2 | Forecasting Winning Bid Prices in an Online Auction Market - Data Mining Approaches显示文摘To solve information asymmetry problem on online auction, this study suggests and validates a forecasting model of winning bid prices. Especially, it explores the usability of data mining approaches, such as neural network and Bayesian network in building a forecasting model. This research empirically shows that, in forecasting winning bid prices on online auction, data mining techniques have shown better performance than traditional statistical analysis, such as logistic regression and multivariate regression. | KIM Hongil BAEK Seung | 2004 | Journal of Electronic Science and Technology of China2004，2，3： | 1 |
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