Now showing items 1-2 of 2

    • Learning with feature partitions 

      Şirin, İzzet (Bilkent University, 1993)
      This thesis presents a new methodology of learning from examples, based on feature partitioning. Classification by Feature Partitioning (CFP) is a particular implementation of this technique, which is an inductive, ...
    • 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 ...