Discovery of Strongly Related Subjects in the Undergraduate Syllabi using Data Mining

  title={Discovery of Strongly Related Subjects in the Undergraduate Syllabi using Data Mining},
  author={W. M. R Tissera and R. I. Athauda and H. C. Fernando},
  journal={2006 International Conference on Information and Automation},
Data mining consists of a variety of techniques that can be used to extract relevant and interesting knowledge from vast amounts of data. Data mining has been successfully applied in a variety of domains to gain knowledge significant in decision making. In this paper, we present a real-world experiment conducted in an ICT educational institute in Sri Lanka. Our experiment considers a data repository consisting students' performance in a large ICT educational institution. We apply a series of… CONTINUE READING
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