Now showing items 1-2 of 2

    • Learning interestingness of streaming classification rules 

      Aydın, Tolga; Güvenir, Halil Altay (Springer, Berlin, Heidelberg, 2004)
      Inducing classification rules on domains from which information is gathered at regular periods lead the number of such classification rules to be generally so huge that selection of interesting ones among all discovered ...
    • A novel hybrid approach for interestingness analysis of classification rules 

      Aydın, Tolga; Güvenir, Halil Altay (Springer, Berlin, Heidelberg, 2007)
      Data mining is the efficient discovery of patterns in large databases, and classification rules are perhaps the most important type of patterns in data mining applications. However, the number of such classification rules ...