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Bloom filter based frequent patterns mining over data streams

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成果类型:
期刊论文、会议论文
作者:
Tan JunShan*;Kuang Zhufang;Yang Guogui
通讯作者:
Tan JunShan
作者机构:
[Yang Guogui; Tan JunShan; Kuang Zhufang] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha, Hunan, Peoples R China.
通讯机构:
[Tan JunShan] C
Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Data streams;data mining;frequent patterns;bloom filter
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2013
卷:
8768
页码:
87685V
会议论文集名称:
International Conference on Graphic and Image Processing (ICGIP 2012)
会议地点:
Singapore, SINGAPORE
会议主办单位:
[Tan JunShan;Kuang Zhufang;Yang Guogui] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha, Hunan, Peoples R China.
会议赞助商:
Int Assoc Comp Sci & Informat Technol (IACSIT), Wuhan Univ
主编:
Zeng Zhu
出版地:
1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
出版者:
SPIE-INT SOC OPTICAL ENGINEERING
ISBN:
978-0-8194-9566-2
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
A data streams synopses structure FPCBF, which is based on bloom filter, is proposed in this paper. Each unit of vector BF[e] in FPCBF is a two-tuples. The transactions insert operation (InsertTran) and 1-frequent patterns pregeneration operation (PreGenFP) is defined. Then, A data streams frequent patterns mining algorithm BFFPM which is based on FPCBF is proposed in this paper. The BFFPM algorithm contains two parts: 1-frequent patterns generation and r-frequent patterns generation. The problem of computing the 1-frequent patterns generation ...

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