Forecasting Winning Bid Prices in an Online Auction Market - Data Mining Approaches

被引:1
作者
KIM Hongil
BAEK Seung
机构
[1] College of Business Administration
[2] Hanyang University Seoul - Korea
关键词
Bayesian network; data mining; neural network; price forecasting;
D O I
暂无
中图分类号
F713.36 [电子贸易、网上贸易];
学科分类号
1201 ;
摘要
<正>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.
引用
收藏
页码:6 / 11
页数:6
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