Presentation 2011-06-06
Fast Frequent Itemset Mining from Uncertain Databases using GPGPU
Yusuke KOZAWA, Toshiyuki AMAGASA, Hiroyuki KITAGAWA,
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Abstract(in English) Frequent itemset mining from uncertain databases is different from conventional one in the sense that it needs to take into account uncertainty. To this end, some methods have already been proposed, but their performances are not satisfactory. Meanwhile, GPGPU (General Purpose computing on GPU) have recently been an interesting research subject in the field of high performance computing. GPGPU is to use GPU (Graphics Processing Unit), which is originally designed for processing graphics, for general purpose computation. In this paper, we propose a method for fast frequent itemset mining from uncertain databases using GPGPU. In addition, experiments show that our proposed method is up to 30 times faster than an existing method.
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Keyword(in English) Uncertain Database / GPGPU / Frequent Itemset Mining
Paper # DE2011-9,PRMU2011-40
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Committee DE
Conference Date 2011/5/30(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fast Frequent Itemset Mining from Uncertain Databases using GPGPU
Sub Title (in English)
Keyword(1) Uncertain Database
Keyword(2) GPGPU
Keyword(3) Frequent Itemset Mining
1st Author's Name Yusuke KOZAWA
1st Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Toshiyuki AMAGASA
2nd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Science, University of Tsukuba:Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Science, University of Tsukuba
Date 2011-06-06
Paper # DE2011-9,PRMU2011-40
Volume (vol) vol.111
Number (no) 76
Page pp.pp.-
#Pages 6
Date of Issue