Data preprocessing is the chief process in the Web log mining.This article advances a kind of popular model of data preprocessing,which divides data preprocessing into five steps: data cleaning,user identification,session identification and format conversion.This model has been tested on the tour Web,which has been proved to be completely feasible,good versatility and extensibility.

This data preprocessing model, involving data cleaning, user identification, session identification, and format conversion, is feasible, versatile, and extensible for web log mining.

Paper

Research and Build of Data Preprocessing Model in Web Data Mining

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