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       author = {Sulzmann, Jan-Nikolas and F{\"{u}}rnkranz, Johannes},
        title = {An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model},
       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.}