University of Illinois Urbana-Champaign

Applications of balance optimization subset selection

Dutta, Shouvik

Content Files
DUTTA-THESIS-2016.pdf

Permalink

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

Description

Title
Applications of balance optimization subset selection
Author(s)
Dutta, Shouvik
Issue Date
2016-07-21
Director of Research (if dissertation) or Advisor (if thesis)
Jacobson, Sheldon H.
Department of Study
Industrial&Enterprise Sys Eng
Discipline
Industrial Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2016-11-10T18:27:07Z
Keyword(s)
  • Subset Selection
  • Netflix
  • Basketball
  • Recommendations
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.
Graduation Semester
2016-08
Type of Resource
text
Permalink
http://hdl.handle.net/2142/92872
Copyright and License Information
Copyright 2016 Shouvik Dutta

Owning Collections

Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois