期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：8
出版社：S.S. Mishra
摘要：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. Our 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. Log file used for debugging purpose. Preprocessing web log file is used in data mining techniques, also can be used in intrusion detection system as input to detect intrusion. Hence our approach lies on the efficient retrieval of information from web log file than before.This is resprested through the asscioated Results set which are discussed in last section of paper
