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Title:Applications of balance optimization subset selection
Author(s):Dutta, Shouvik
Advisor(s):Jacobson, Sheldon H
Department / Program:Industrial&Enterprise Sys Eng
Discipline:Industrial Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Subset Selection
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Abstract:Balance Optimization Subset Selection (BOSS) is a framework designed to be used for causal inference on observational data. The theoretical foundation for the BOSS framework has been provided in the literature; this thesis aims to provide some examples of the practical value of BOSS by using it on two problems. The first application is using BOSS to determine a subset of users who would be suitable targets for marketing efforts, and the second application is using BOSS to identify potential first-round upsets in the NCAA basketball tournament. Finally, this thesis delves into another area of college basketball and attempts to model the process of the NCAA tournament selection committee using a decision tree.
Issue Date:2016-07-21
Type:Thesis
URI:http://hdl.handle.net/2142/92872
Rights Information:Copyright 2016 Shouvik Dutta
Date Available in IDEALS:2016-11-10
Date Deposited:2016-08


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