Now showing items 1-2 of 2

  • A data perturbation approach to sensitive classification rule hiding 

    Delis, A.; Verykios, V. S.; Tsitsonis, A. A. (2010)
    This paper focuses on privacy preservation in classification rule mining. The subject at hand is approached through the proposition of a data perturbation approach for hiding sensitive classification rules in categorical ...
  • A quantitative and qualitative analysis of blocking in association rule hiding 

    Pontikakis, E. D.; Tsitsonis, A. A.; Verykios, V. S.; Theodoridis, Y.; Chang, L. (2004)
    Data mining provides the opportunity to extract useful information from large databases. Various techniques have been proposed in this context in order to extract this information in the most efficient way. However, ...