Now showing items 1-5 of 5

    • Hypergraph models and algorithms for data-pattern-based clustering 

      Ozdal, M. M.; Aykanat, C. (Springer, 2004)
      In traditional approaches for clustering market basket type data, relations among transactions are modeled according to the items occurring in these transactions. However, an individual item might induce different relations ...
    • Maximizing benefit of classifications using feature intervals 

      İkizler, Nazlı; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2003)
      There is a great need for classification methods that can properly handle asymmetric cost and benefit constraints of classifications. In this study, we aim to emphasize the importance of classification benefits by means ...
    • Nonstandard set theories and information management 

      Akman, V.; Pakkan, M. (Springer/Kluwer Academic Publishers, 1996)
      The merits of set theory as a foundational tool in mathematics stimulate its use in various areas of artificial intelligence, in particular intelligent information systems. In this paper, a study of various nonstandard ...
    • A rule-based video database system architecture 

      Dönderler, M. E.; Ulusoy, Ö.; Güdükbay U. (Elsevier, 2002)
      We propose a novel architecture for a video database system incorporating both spatio-temporal and semantic (keyword, event/activity and category-based) query facilities. The originality of our approach stems from the fact ...
    • Solving equations in the universe of hypersets 

      Pakkan, Müjdat (Bilkent University, 1993)
      Hyperset Theory (a.k.a. ZFC~/AFA) of Peter Aczel is an enrichment of the classical ZFC set theory and uses a graphical representation for sets. By allowing non-well-founded sets, the theory provides an appropriate ...