Behavior Mining of Female Students by Analyzing Log Files

In this paper, we attempt to get better insight on how Internet usage behaviors of female students in university can affect on their different academic activities also compare usage patterns of different departments’ students with their teachers’ patterns. In addition, we attempt to find similarities and dissimilarities of usage patterns of students on various branches and finding relationships between Internet usage pattern of female students and their academic performance CPI (Cumulative Performance Index). The other objective of this investigation is to identify factors for usage behaviors of Internet in terms of average time spent per day on Internet, number of hits(in aspects of opened or visited pages) and number of unique Websites visited per day by students of different departments or branches. This paper presents the results of a study conducted at Motilal Nehru National Institute of Technology, Allahabad (India) for a period of one year, regarding behavior mining of female students related to their Internet usage patterns with analyzing access log files. Results of this paper can help academic researchers and course coordinators for improvement of logistics and teaching methods with respect to Internet usage behavior related to branch and gender differentiation.

Web usage mining, Behavior mining, Internet usage behavior, Students performance