期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：4
页码：5204
DOI：10.15680/IJIRSET.2016.0504124
出版社：S&S Publications
摘要：Web usage mining (WUM) is the technique of extracting useful and interesting patterns from webaccess log. Web access log is the log-file that contains registered user access by the server. WUM is otherwise called asweb log mining that is used to understand visitor’s behavior and navigation or routing preferences of the visitor mainlyfor evaluating the effectiveness of the website and for enhancing the quality of the website respectively. The aim ofdiscovering frequent patterns in web log data is to obtain information about the navigational behavior of the user. Thiscan be used for advertising purpose, for creating dynamic user profiles, etc. The click-streams generated by varioususers often follow distinct patterns. The proposed distributed mining algorithm is Group Movement Pattern Mining thatidentifies a group of visitors with similar patterns. The proposed algorithm comprises of two phases that are localmining phase and cluster ensembling phase. In local mining phase, the system finds navigation pattern of each user andcompute the similarity between the users to identify the local groups. In cluster ensembling phase, the global group canbe identified by clustering local groups. Distributed mining algorithm achieves good grouping quality.
关键词：web usage mining; pre-processing; log file; pattern discovery; web recommendation
