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An environment for creating decision trees to model financial aid allocation decisions

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dc.contributor.advisor Prof. Peter Haddawy (Chairman) en_US
dc.contributor.advisor Dr. Paul Janecek (Member) en_US
dc.contributor.advisor Dr. Matthew Dailey (Member) en_US
dc.contributor.author Nguyen Nam Trung en_US
dc.date.accessioned 2015-01-12T10:45:56Z
dc.date.available 2015-01-12T10:45:56Z
dc.date.issued 2008 en_US
dc.identifier.other AIT Thesis no.IM-08-05 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/611
dc.description 106 p. en_US
dc.description.abstract One of the most important problems in academic universities and institutes is enrollment management, which is the process of defining enrollment goals and establishing procedures to reach these goals. Previous work has developed financial aid optimizing system which can predict enrollment given applicant background and recommend the amount of optimized financial aid offered. The results of this system are very useful but it is hard for the enrollment managers to understand as well as to modify. This thesis involves taking the results of the financial aid optimization and using decision tree induction to generate a set of policy rules. The rules can then be viewed and edited to obtain the effective of the policy. The resulting rules can be run back again on the enrollment prediction module of the financial aid optimizing system to simulate the effect of the policy they represent. en_US
dc.description.sponsorship 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 Decision Trees en_US
dc.subject Decision Tree Algorithms en_US
dc.subject Decision Tree Pruning Methods en_US
dc.subject Financial en_US
dc.title An environment for creating decision trees to model financial aid allocation decisions en_US
dc.type Thesis en_US


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