Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes (2008)
An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model.
Report, Bibliographie
Kurzbeschreibung (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.
Typ des Eintrags: | Report |
---|---|
Erschienen: | 2008 |
Autor(en): | Sulzmann, Jan-Nikolas ; Fürnkranz, Johannes |
Art des Eintrags: | Bibliographie |
Titel: | An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model |
Sprache: | Englisch |
Publikationsjahr: | 2008 |
URL / URN: | http://www.ke.informatik.tu-darmstadt.de/publications/report... |
Kurzbeschreibung (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. |
ID-Nummer: | TUD-KE-2008-03 |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik > Knowledge Engineering 20 Fachbereich Informatik |
Hinterlegungsdatum: | 24 Jun 2011 15:14 |
Letzte Änderung: | 05 Mär 2013 09:49 |
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