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Rule Induction on Data Sets with Set-Value Attributes

Dodge, Luke
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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.
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2017-08-31
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University of Kansas
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Engineering Dissertations and Theses
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Dodge_ku_0099M_15409_DATA_1.pdf
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Computer science
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https://hdl.handle.net/1808/25919
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