A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany

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Date: 2009-11-06 11:55:58 Data mining Association rule learning Data management Information science Information technology management Information Formal sciences Machine learning Statistical classification Confidence interval Sequential pattern mining Apriori algorithm		A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany Add to Reading List Source URL: www.ke.tu-darmstadt.de Download Document from Source Website File Size: 202,25 KB Share Document on Facebook

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