Now showing items 1-6 of 6

    • An eager regression method based on best feature projections 

      Aydın, Tolga; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2001)
      This paper describes a machine learning method, called Regression by Selecting Best Feature Projections (RSBFP). In the training phase, RSBFP projects the training data on each feature dimension and aims to find the ...
    • 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 ...
    • Modeling interestingness of streaming association rules as a benefit maximizing classification problem 

      Aydın, Tolga (Bilkent University, 2009)
      In a typical application of association rule learning from market basket data, a set of transactions for a fixed period of time is used as input to rule learning algorithms. For example, the well-known Apriori algorithm ...
    • Modeling interestingness of streaming classification rules as a classification problem 

      Aydın, Tolga; Güvenir, Halil Altay (Springer, 2005-06)
      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 ...
    • Regression by selecting best feature(s) 

      Aydın, Tolga (Bilkent University, 2000)
      Two new machine learning methods, Regression by Selecting Best Feature Projections (RSBFP) and Regression by Selecting Best Features (RSBF), are presented for regression problems. These methods heavily make use of least ...