Rule Induction on Data Sets with Set-Value Attributes
Issue Date
2017-08-31Author
Dodge, Luke
Publisher
University of Kansas
Format
56 pages
Type
Thesis
Degree Level
M.S.
Discipline
Electrical Engineering & Computer Science
Rights
Copyright held by the author.
Metadata
Show full item recordAbstract
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.
Collections
- Engineering Dissertations and Theses [1055]
- Theses [3824]
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