dc.contributor.advisor | Grzymala-Busse, Jerzy | |
dc.contributor.author | Dodge, Luke | |
dc.date.accessioned | 2018-02-06T02:31:23Z | |
dc.date.available | 2018-02-06T02:31:23Z | |
dc.date.issued | 2017-08-31 | |
dc.date.submitted | 2017 | |
dc.identifier.other | http://dissertations.umi.com/ku:15409 | |
dc.identifier.uri | http://hdl.handle.net/1808/25919 | |
dc.description.abstract | Data 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.extent | 56 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | Copyright held by the author. | |
dc.subject | Computer science | |
dc.title | Rule Induction on Data Sets with Set-Value Attributes | |
dc.type | Thesis | |
dc.contributor.cmtemember | Luo, Bo | |
dc.contributor.cmtemember | Agah, Arvin | |
dc.thesis.degreeDiscipline | Electrical Engineering & Computer Science | |
dc.thesis.degreeLevel | M.S. | |
dc.identifier.orcid | | |
dc.rights.accessrights | openAccess | |