Data Mining Algorithms
Generalized association rule mining with constraints
Tutor
Luca Cagliero, Tania Cerquitelli (email: name dot surname at polito dot it)
Description
- 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
Applications:
- 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)