A New Algorithm for Web Log Mining

Abstract

The enormous content of information on the World Wide Web makes it obvious candidate for data mining research. Data Mining Technique application is used to the World Wide Web referred as Web mining where this term has been used in three distinct ways; , Web Structure Mining, Web Content Mining and Web Usage Mining. Web Log Mining is one of the Web based application where it will facing with large amount of log data. In order to produce the web log through portal usage patterns and user behaviors, this research work implements the high level process of Web Log mining technique using basic rules. Web Log Mining consists of three main phases, namely Data Preprocessing, Pattern filtering and Pattern Analysis. As we know that server log files become a set of raw data where it’s must go through with all the Web Log Mining phases to producing the final results. Here, Web Log mining, approach has been combining with the basic rules, to optimize the total execution time. Finally, this work wills present an overview of results analysis and Web Log Mining can use the findings for the suitable valuable actions.