Abstract: Web mining is the utilization of information mining systems to naturally find and concentrate data from web archives and administrations. Web mining is three sorts: Web use Mining, Web content Mining and Web structure Mining. Web utilization mining is the Process of finding information from the cooperation created by the clients in the types of access logs, program logs, intermediary server logs, client session information, treats. The web server log document naturally made and kept up by a server comprising of a rundown of exercises it performed. The proposed framework is intended for website page forecast in suggestion framework and also it is useful for the investigation of web mining calculation to get incessant consecutive access design from the web log document of web server. The execution in light of the cleaning, fuzzy c means clustering and Association rules and the outcomes are noticed that the effective calculation for web log successive access in accurate example mining.
Keywords: Web Mining, Association rules, Clustering, Web Server log file.