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An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model

Sulzmann, Jan-Nikolas and Fürnkranz, Johannes (2008):
An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...],
[Report]

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.

Item Type: Report
Erschienen: 2008
Creators: Sulzmann, Jan-Nikolas and Fürnkranz, Johannes
Title: An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model
Language: English
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.

Divisions: 20 Department of Computer Science > Knowl­edge En­gi­neer­ing
20 Department of Computer Science
Date Deposited: 24 Jun 2011 15:14
Official URL: http://www.ke.informatik.tu-darmstadt.de/publications/report...
Identification Number: TUD-KE-2008-03
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