Discovering potential user browsing behaviors using custom-built apriori algorithm

Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a while and try to know completely about the running organization. As educational system increasingly requires data mining, the opportunity arises to mine the resulting large amounts of student information for hidden useful information (patterns like rule, clustering, and classification, etc). The education domain offers ground for many interesting and challenging data mining applications like astronomy, chemistry, engineering, climate studies, geology, oceanography, ecology, physics, biology, health sciences and computer science. Collecting the interesting patterns using the required interestingness measures, which help us in discovering the sophisticated patterns that are ultimately used for developing the site. We study the application of data mining to educational log data collected from Guru Nanak Institute o...

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Sandeep Singh Rawat, Lakshmi Rajamani
• Keywords: CORR 2010, Data Mining, Education, Mining, Required Interestingness Measures