[BibTeX] [RIS]
An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model
Type of publication: Techreport
Citation: jf:TUD-KE-2008-03
Number: TUD-KE-2008-03
Year: 2008
Institution: TU Darmstadt, Knowledge Engineering Group
URL: http://www.ke.informatik.tu-darmstadt.de/publications/reports/tud-ke-2008-03.pdf
Abstract: Local pattern discovery, pattern set discovery and global modeling build together as consecutive steps a specific case of global pattern discovery. As each of these three steps have gained an increased attention in recent years, a great variety of techniques for each step have been proposed. Though so far there has been no systematic comparison of the possible choices. In this paper, we will consider a special representative of local patterns, namely class association rules, and evaluate several options for pattern set discovery and for global modeling for this type of classification rules.
Keywords:
Authors Sulzmann, Jan-Nikolas
F├╝rnkranz, Johannes
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  • tud-ke-2008-03.pdf
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