A Missing Value Imputation for Web Log Data Analysis Using Statistical Learning Theory

초록

The web contains a rich and dynamic collection of hyperlink information and web page access and usage information. It also seems to be too huge for effective data mining. But they are very sparse. We construct vector regression model for missing value imputation using cleansing web log data.