Ertek, Gürdal (2008) Visual data mining for developing competitive strategies in higher education. In: Longbing, Cao and Yu, Philip S. and Zhang, Chengqi and Zhang, Huaifeng, (eds.) Data Mining for Business Applications. Springer US, US, pp. 253-266. ISBN 978-0-387-79419-8 (Print) 978-0-387-79420-4 (Online) (Accepted/In Press)
There is a more recent version of this item available.
![[thumbnail of ertek_data_mining_for_business_applications.pdf]](https://research.sabanciuniv.edu/style/images/fileicons/application_pdf.png)
PDF
ertek_data_mining_for_business_applications.pdf
Restricted to Registered users only
Download (211kB) | Request a copy
Official URL: http://dx.doi.org/10.1007/978-0-387-79420-4_18
Abstract
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.
Available Versions of this Item
- Visual data mining for developing competitive strategies in higher education. (deposited 10 Nov 2008 15:51) [Currently Displayed]
Actions (login required)
- View Item