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        <identifier>oai:www.ideals.illinois.edu:2142/92872</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Jacobson, Sheldon H.</dc:contributor>
          <dc:creator>Dutta, Shouvik</dc:creator>
          <dc:date>2016-11-10T18:27:07Z</dc:date>
          <dc:date>2016-11-10T18:27:07Z</dc:date>
          <dc:date>2018-11-11T10:15:19Z</dc:date>
          <dc:date>2016-07-21</dc:date>
          <dc:date>2016-08</dc:date>
          <dc:description>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.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-08-01</dc:description>
          <dc:description>The student, Shouvik Dutta, accepted the attached license on 2016-07-19 at 12:51.</dc:description>
          <dc:description>The student, Shouvik Dutta, submitted this Thesis for approval on 2016-07-19 at 12:54.</dc:description>
          <dc:description>This Thesis was approved for publication on 2016-07-21 at 14:08.</dc:description>
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DUTTA-THESIS-2016.pdf: 645024 bytes, checksum: 2db51a406961fe95b3cc42b8d0e55feb (MD5)
LICENSE.txt: 4210 bytes, checksum: c742995ea6b0e1b88acbf8698e6a703a (MD5)
  Previous issue date: 2016-07-21</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 95292
Lift date: 2018-11-10T18:28:02Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Limited Restriction Lifted for Item 95292 on 2018-11-11T10:15:19Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/92872</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2016 Shouvik Dutta</dc:rights>
          <dc:subject>Subset Selection</dc:subject>
          <dc:subject>Netflix</dc:subject>
          <dc:subject>Basketball</dc:subject>
          <dc:subject>Recommendations</dc:subject>
          <dc:title>Applications of balance optimization subset selection</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Industrial&amp;Enterprise Sys Eng</department>
            <discipline>Industrial Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
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