Visual Data Mining for Developing Competitive Strategies in Higher Education

October 7, 2017

 

Information visualization is the growing field of computer science that aims at visually mining data for knowledge discovery. In this paper, a data mining framework and a novel information visualization scheme is developed and applied to the domain of higher education. The presented framework consists of three main types of visual data analysis: Discovering general insights, carrying out competitive benchmarking, and planning for High School Relationship Management (HSRM). In this paper the framework and the square tiles visualization scheme are described and an application at a private university in Turkey with the goal of attracting brightest students is demonstrated.

Ertek, G. (2009). “Visual Data Mining for Developing Competitive Strategies in Higher Education,” in Data Mining for Business Applications. Editors: Longbing Cao, Philip S. Yu, Chengqi Zhang and Huaifeng Zhang. Springer.

Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.

IMPORTANT: Even though this draft erroneously shows the header “Chapter 1”, the final version appeared as “Chapter 18 – Visual Data Mining for Developing Competitive Strategies in Higher Education” in the book “Data Mining for Business Applications” edited by Longbing Cao, Philip S. Yu, Chengqi Zhang and Huaifeng Zhang, and published by Springer in 2009.

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