DocumentCode
3535119
Title
Novel strategies for hardware acceleration of frequent itemset mining with the apriori algorithm
Author
Thöni, David W. ; Strey, Alfred
Author_Institution
Inst. of Comput. Sci., Univ. of Innsbruck, Innsbruck, Austria
fYear
2009
fDate
Aug. 31 2009-Sept. 2 2009
Firstpage
489
Lastpage
492
Abstract
Apriori is a prominent data mining algorithm concerned with the problem of frequent itemset mining (FIM) which generally exhibits poor performance on general-purpose systems. This paper presents a novel hardware accelerator for Apriori, improving upon previous hardware acceleration efforts.
Keywords
data mining; field programmable gate arrays; memory architecture; random-access storage; Apriori algorithm; FPGA; RAM; data mining algorithm; field programmable gate arrays; frequent itemset mining; general-purpose system; hardware acceleration; Acceleration; Data mining; Field programmable gate arrays; Hardware; Itemsets; Kernel; Logic; Random access memory; Systolic arrays; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Field Programmable Logic and Applications, 2009. FPL 2009. International Conference on
Conference_Location
Prague
ISSN
1946-1488
Print_ISBN
978-1-4244-3892-1
Electronic_ISBN
1946-1488
Type
conf
DOI
10.1109/FPL.2009.5272494
Filename
5272494
Link To Document