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: | /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. |
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