Visual data mining for developing competitive strategies in higher education

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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)

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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.
Item Type: Book Section / Chapter
Additional Information: DOI: 10.1007/978-0-387-79420-4_18
Uncontrolled Keywords: Computer Science, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Artificial Intelligence (incl. Robotics), Computing Methodologies and Models and Principles
Subjects: T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering > T58.5 Information technology
L Education > LB Theory and practice of education > LB2801-LB3095 Theory and practice of education--School administration and organization
T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering > T58.6-58.62 Management information systems
L Education > LF Individual institutions (Europe)
L Education > LB Theory and practice of education > LB1028.3 Technology. Educational technology
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Gürdal Ertek
Date Deposited: 10 Nov 2008 15:51
Last Modified: 22 Jul 2019 09:48
URI: https://research.sabanciuniv.edu/id/eprint/10413

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