Grzymala-Busse, JerzyDodge, Luke2018-02-062018-02-062017-08-312017http://dissertations.umi.com/ku:15409https://hdl.handle.net/1808/25919Data 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.56 pagesenCopyright held by the author.Computer scienceRule Induction on Data Sets with Set-Value AttributesThesisopenAccess