Applications of balance optimization subset selection

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Industrial Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2016

Author dc:creator

• Dutta, Shouvik

Contributors dc:contributor

• Jacobson, Sheldon H.

• Subset Selection
• Netflix
• Basketball
• Recommendations

Statement dc:rights

• Copyright 2016 Shouvik Dutta

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/92872

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/92872