Web Log File Data Clustering Using K-Means and Decision Tree

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Web mining is used to discover interest patterns which can be applied to many real world problems like improving web sites, better understanding the visitor's behavior, product recommendation etc. The authors' Paper is focused on web log file format, its type and location. These web log files records information of each user request. Advantage of log files - data is easily available to be analyzed. Log files usually contain noisy and ambiguous data. Preprocessing involves removal of unnecessary data from log file by the method of K-Means Clustering.

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