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dc.contributor.advisorGrzymala-Busse, Jerzy
dc.contributor.authorDodge, Luke
dc.date.accessioned2018-02-06T02:31:23Z
dc.date.available2018-02-06T02:31:23Z
dc.date.issued2017-08-31
dc.date.submitted2017
dc.identifier.otherhttp://dissertations.umi.com/ku:15409
dc.identifier.urihttp://hdl.handle.net/1808/25919
dc.description.abstractData sets may have instances where multiple values are possible which are described as set-value attributes. The established LEM2 algorithm does not handle data sets with set-value attributes. To solve this problem, a parallel approach was used during LEM2’s execution to avoid preprocessing data. Changing the creation of characteristic sets and attribute-value blocks to include all values for each case allows LEM2 to induce rules on data sets with set-value attributes. The ability to create a single local covering for set-value data sets increases the variety of data LEM2 can process.
dc.format.extent56 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectComputer science
dc.subject
dc.titleRule Induction on Data Sets with Set-Value Attributes
dc.typeThesis
dc.contributor.cmtememberLuo, Bo
dc.contributor.cmtememberAgah, Arvin
dc.thesis.degreeDisciplineElectrical Engineering & Computer Science
dc.thesis.degreeLevelM.S.
dc.identifier.orcid
dc.rights.accessrightsopenAccess


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