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A date mining model for university: Case studies of AIT and can Tho University

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dc.contributor.advisor Dr. Paul Janecek (Co-Chairperson) en_US
dc.contributor.advisor Prof. Peter F. Haddawy (Co-Chairperson) en_US
dc.contributor.advisor Dr. Vatcharaporn Esichaikul (Member) en_US
dc.contributor.author Nguyen Thai Nghe en_US
dc.date.accessioned 2015-01-12T10:45:34Z
dc.date.available 2015-01-12T10:45:34Z
dc.date.issued 2006 en_US
dc.identifier.other AIT Thesis no.IM-06-21 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/590
dc.description 124 p. en_US
dc.description.abstract Data mining is considered as the most suited technology in discovering the student behaviors and acted as an automated assistant in helping them get better in study result. When the student information is viewed as material in data mining process, different meaningful correlations, patterns and trends can be discovered. In this study, we introduce some common data mining tasks and techniques that can be applied for universities, analyze some data mining tools especially the open source tools. Based on a selected tool, we develop a web-based data mining system relying on our suggested model, which is named “A Data Mining Model for Universities”, to classify the student performance by using Decision Tree technique, to predict the student numeric GPA by using Model Tree technique for helping them get better in studying, and to find the correlations among the courses by using Association Rule for supporting the students in registering. This model is applied for two case studies of AIT and Can Tho University. en_US
dc.description.sponsorship Ministry of Education and Training, Vietnam AIT Fellowship en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Data mining en_US
dc.subject Data mining process en_US
dc.subject A web-based data mining system en_US
dc.title A date mining model for university: Case studies of AIT and can Tho University en_US
dc.type Thesis en_US


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