An approach for frequent access pattern identification in web usage mining
Murli Manohar Sharma, Anju Bala · 2014
In the consent of this internet world, nobody is untouched with internet for their usage. For such kind of scenario, data mining becomes an essential part of computer science. Data mining is a sub-field, which computationally processes the data collected data and is able to help the analyst for proposing the ideas for some betterment of the company. The user access is recorded in log files. The web server logs provide important information. In the field of web mining the analysis of the web logs is done to identify the user search patterns. In the usual approaches of finding the patterns, pattern tree is created and then the analysis is done, but in this proposed algorithm there is no need of tree creation and the analysis is done based on the website architecture, which will increase the efficiency of the other pattern matching algorithms and needs only one database scan.