A Survey: Web Log Mining using Genetic Algorithm

Web mining has become a vast area of Research in last few years. Web Mining Which deals with the extraction of interesting knowledge from logging information produced by web server. In this paper we present a survey generate clusters using a multi objective genetic algorithm. Genetic algorithm is also a very hot area of research. In this paper we will compare the error value between FCM(Fuzzy c-means) and FCM-MOGA Means multi objective Genetic algorithm). Genetic algorithm follows some steps and produce optimize solution. In using GA standard deviation and iteration value also affected. In this paper we have survey various paper based on Web log mining and FCM and GA.