%0 Conference Proceedings
%T Hardware Supported Rough Sets Based Rules Generation for Big Datasets
%+ Białystok University of Technology
%A Kopczynski, Maciej
%A Grzes, Tomasz
%A Stepaniuk, Jaroslaw
%Z Part 2: Rough Set Methods for Big Data Analytics
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 91-102
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_9
%K Rough sets
%K FPGA
%K Hardware
%K Rules
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637509/document
%2 https://inria.hal.science/hal-01637509/file/419526_1_En_9_Chapter.pdf
%L hal-01637509
%U https://inria.hal.science/hal-01637509
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842