Hardware Supported Rule-Based Classification On Big Datasets

In this paper we propose a combination of capabilities of the Field Programmable Gate Arrays based device and PC computer for data processing resulting in classification using previously generated decision rules. Solution is focused on big datasets. Presented architecture has been tested in programmable unit on real datasets. Obtained results confirm the significant acceleration of the computation time using hardware supported operations in comparison to software implementation.