| Summary: | Thai University Central Admission System (TCAS) is an educational reform policy embracing three main principles;including, 1) students are required to attend classroom until the completion of the upper secondary education (Matthayom6), 2) each student possessed one right on the courses selected on equitably basis, and lastly, 2) each student possessed one right on the courses selected on equitably basis, and lastly, 3) all higher education institutions subject to the Council of University Presidents of Thailand (CUPT) ’s Networks are required to participate in the clearinghouse to administrate student’s one right to study. Based on the Mahasarakham University policy, the Mahasarakham
University is a public university under the CUPT network that follows Thai University Central Admission System (TCAS). The issues of Thai University Central Admission System (TCAS) showed that the number of right confirmations (Clearing House) was smaller than the admission plans, compared to the large number of applicants interested in continuing study. For this reason, the researcher has an idea of using Data Mining Techniques to identify patterns that have arisen out of student data that have the confirmation right to study, so that the model to be acquired will further be developed into a support system for TCAS. in order that the TCAS Committee can quantify the confirmations and
make sure that the number of admissions are mostly consistent with the admission plan. The results indicated that decision trees and association rules on the experimental data was accurate by 82.85 percent on Humanities and Social Sciences, formulating into 89 association rules, and it was accurate by 80.88 percent on Health Science, formulating into 85 association rules, and it was accurate by 78.85 percent on Technology Science, formulating into 85 association rules. The results could be efficient to the development of the TCAS support system.
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