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Classification model for selecting undergraduate programs

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1 Author(s)
Jirapanthong, W. ; Inf. Technol. Fac., Dhurakij Pundit Univ., Bangkok, Thailand

Many high-school students have failed in selection of undergraduate programs. This is due to the lack of potential information to support a making decision. Although a large amount of data of information systems in academic institutes has been collected for years, the use of the data is still not supporting academic benefits, particularly to the students. In this paper, we present the use of data mining technique, particularly classification technique, to support high-school students in selection of undergraduate programs. The paper also presents the study on educational structure in Thailand, and background of data mining concepts and techniques. The details of learning process to built-up the classification model is described and some examples of extracted rules from the classification model are given. We also present the case study and usage of the model.

Published in:

Natural Language Processing, 2009. SNLP '09. Eighth International Symposium on

Date of Conference:

20-22 Oct. 2009