On the Design of Hardware Architectures for Parallel Frequent Itemsets Mining

•It is proposed a search strategy for Frequent Itemsets Mining based on equivalence class partitioning.•It is presented two hardware architectures that efficiently exploits the search strategy proposed.•The hardware architectures proposed can deal with an arbitrary number of items and transactions.•The hardware architectures proposed can be scaled for obtaining better processing times.