ID  - jf:TUD-KE-2008-03
T1  - An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model
A1  - Sulzmann, Jan-Nikolas
A1  - F├╝rnkranz, Johannes
Y1  - 2008
IS  - TUD-KE-2008-03
T2  - TU Darmstadt, Knowledge Engineering Group
UR  - http://www.ke.informatik.tu-darmstadt.de/publications/reports/tud-ke-2008-03.pdf
N2  - 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.
ER  -