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Abstract: Most of the organizations put information on the web because they want it tobe seen by the world. Their goal is to have visitors come to the site, feelcomfortable and stay a while and try to know completely about the runningorganization. As educational system increasingly requires data mining, theopportunity arises to mine the resulting large amounts of student informationfor hidden useful information patterns like rule, clustering, andclassification, etc. The education domain offers ground for many interestingand challenging data mining applications like astronomy, chemistry,engineering, climate studies, geology, oceanography, ecology, physics, biology,health sciences and computer science. Collecting the interesting patterns usingthe required interestingness measures, which help us in discovering thesophisticated patterns that are ultimately used for developing the site. Westudy the application of data mining to educational log data collected fromGuru Nanak Institute of Technology, Ibrahimpatnam, India. We have proposed acustom-built apriori algorithm to find the effective pattern analysis. Finally,analyzing web logs for usage and access trends can not only provide importantinformation to web site developers and administrators, but also help increating adaptive web sites.



Autor: Sandeep Singh Rawat, Lakshmi Rajamani

Fuente: https://arxiv.org/







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