Data Mining Algorithms

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Generalized association rule mining with constraints


Luca Cagliero, Tania Cerquitelli (email: name dot surname at polito dot it)



  • Generalized association rule mining: extension of the traditional association rule mining problem in the presence of taxonomies (aggregation hierarchies) built over data items
    • Discovery of correlations among data at different abstraction levels
    • High number of mined rules -> high computational complexity
  • Constraints restrict the extracted rules to a subset of interest to ease domain expert analysis


  • Study and implementation of novel generalized association rule mining algorithms with constraints
  • Design of applications, based on generalized rule mining with constraints, to support knowledge discovery data coming different application contexts (e.g., network traffic data, mobile data, social network data)