文章基本信息

标题：Effective Log File Mining by Pre-processing, User and Session Identification Algorithms
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作者：Abhishek Patil ; Shweta Wani ; Neha Patil 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：5259
DOI：10.15680/IJIRCCE.2017.0503296
出版社：S&S Publications
摘要：The important part of any internet application is web log files. Web log file serves the purpose ofdirectory in numerous facet of information mining for web users. Web users are not able to locate what they actuallywant within reasonable amount of time. There is a good style of logs to stock information regarding the search patternsof the users. There can be ample formats of convenience of logs, every internet application will develop format of itsown logs. Generally, IP, date and time of the request, result for the request (with code), dealing size, protocol, requestdescription, browser and software package utilized by the user area unit a number of the vital attributes of each requestthat get into the record of the log file. The user’s activity search pattern is examined by the question log files. The usersbrowsing behaviour is analysed using various methodologies. Completely different from existing ways, gift systemavoids user’s feedback to the browser and doesn't collect the data which can manufacture privacy problems, e.g. usersbrowsing history, bookmarks, and so on. As a result of the data recorded by server in access logs are utilized to judgethe page interest, a referrer-based knowledge pre-processing methodology is administrated to enhance the dependabilityof the access knowledge and extract the required info for interest estimation.
关键词：Data Pre-processing; Session Identification; UserIdentification; Web Usage Mining.