Hardware Supported Rough Sets Based Rules Generation for Big Datasets

Abstract : In this paper we propose a combination of capabilities of the Field Programmable Gate Arrays based device and PC computer for rough sets based data processing resulting in generation of 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 supporting rough set operations in comparison to software implementation.
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Communication dans un congrès
Khalid Saeed; Władysław Homenda. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9842, pp.91-102, 2016, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-45378-1_9〉
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Maciej Kopczynski, Tomasz Grzes, Jaroslaw Stepaniuk. Hardware Supported Rough Sets Based Rules Generation for Big Datasets. Khalid Saeed; Władysław Homenda. 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9842, pp.91-102, 2016, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-45378-1_9〉. 〈hal-01637509〉

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