Cardinality-based Generalized Itemset Miner
Authors
Publicly available code
CarGeMi (Cardinality-based Generalized Itemset Miner) algorithm executable code: download it here
GenIO (Generalized Iemset discOverer) algorithm [Baralis et al., 2010] executable code: download it here
Cumulate algorithm [Agrawal & Srikant, 1995] executable code: download it here
We thank you Vincenzo D’Elia for the implementation of GenIO and Cumulate
Evaluated datasets and taxonomies
Real datasets and taxonomies: download them here
Benchmark UCI datasets and taxonomies: download them here
Synthetic data and taxonomy generator: download it here
[Agrawal & Srikant, 1995] Agrawal R., & Srikant R. (1995). Mining generalized association rules. In International Conference on Very Large Data Bases. (pp. 407-419). Morgan Kaufmann.
[Baralis et al., 2010] Baralis, E., Cagliero, L., Cerquitelli, T., D’Elia, V., & Garza, P. (2010). Support driven opportunistic aggregation for generalized itemset extraction. In: IEEE Conf. of Intelligent Systems (IS’10). (pp. 102-107). IEEE Computer Society.