Research on distributed data stream mining algorithms based on matrix weighted association rules

doi:10.3233/WEB-200435

CQUET-IR > 通信工程学院

	Research on distributed data stream mining algorithms based on matrix weighted association rules
	Xu, Dong
	2020
发表期刊	Web Intelligence
ISSN	2405-6456
EISSN	2405-6464
卷号	18 期号:2 页码:133-143
摘要	In order to overcome the low efficiency of traditional data mining algorithms without considering weighted association rules, this paper proposes a distributed data flow mining algorithm based on matrix weighted association rules. According to the way of separating metadata and data flow, garbage data processing in data flow is realized. By using sliding window and data summary structure to optimize PCA algorithm, the main component decision matrix is formed in the window, and the dimension of data in sliding window is reduced by using the decision matrix. The matrix weighted association rules are used to mine the distributed data. After dimensionality reduction, the transactions in the database are clustered according to the time distribution. The weighted analysis is carried out for each aggregation to obtain the weighted frequent item set with time and output the mining results. The experimental results show that the proposed algorithm has high efficiency and the highest accuracy of 98.9%. © 2020-IOS Press and the authors. All rights reserved.
关键词	Association rules Data mining Data streams Data transfer Dimensionality reduction Efficiency Matrix algebra Data mining algorithm Decision matrices Distributed data Distributed data flow Distributed data streams Mining algorithms Time distribution Weighted association rules
DOI	10.3233/WEB-200435
收录类别	EI ; ESCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000541746700005
出版者	IOS Press, Nieuwe Hemweg 6B, Amsterdam, 1013 BG, Netherlands
EI入藏号	20202808927970
EI分类号	723.2 Data Processing and Image Processing ; 723.3 Database Systems ; 903.1 Information Sources and Analysis ; 913.1 Production Engineering ; 921.1 Algebra
原始文献类型	Journal article (JA)
出版地	AMSTERDAM
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/3203
专题	通信工程学院
作者单位	School of Communication Engineering, Chongqing College of Electronic Engineering, Chongqing; 401331, China
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Xu, Dong. Research on distributed data stream mining algorithms based on matrix weighted association rules[J]. Web Intelligence,2020,18(2):133-143.
APA	Xu, Dong.(2020).Research on distributed data stream mining algorithms based on matrix weighted association rules.Web Intelligence,18(2),133-143.
MLA	Xu, Dong."Research on distributed data stream mining algorithms based on matrix weighted association rules".Web Intelligence 18.2(2020):133-143.

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