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Algorithm Research & Explore
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1989-1992,2010

Mining frequent weighted itemsets based on WNegNodeset structure

Wang Bin
Fang Xinxiu
Lyu Ruirui
Ma Junjie
School of Information & Control Engineering, Qingdao Technological University, Qingdao Shandong 266520, China

Abstract

In the mining algorithm for frequent weighted itemsets based on WN-list(NFWI), mining weighted frequent itemsets(FWI) is inefficient. To solve the problem, this paper proposed a frequent weighted itemsets mining algorithm(NegNFWI) based on WNegNodeset structure. Firstly, this algorithm used the data structure of WNegNodeset, an extension of NegNodeset. The data structure employed a novel encoding model for nodes in bitmap weighted-tree(BMW-tree) based on the bitmap representation of sets, and used bitwise operators to extract WNegNodesets of itemsets quickly, avoiding a large quantity of intersection operations. Secondly, this algorithm used diffsets strategy to calculate the weighted support degree of itemsets quickly, thus decreasing computing time. Finally, results from simulation experiments show that the proposed algorithm is efficient and feasible.

Foundation Support

国家自然科学基金资助项目(61502262)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.01.0014
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 7
Section: Algorithm Research & Explore
Pages: 1989-1992,2010
Serial Number: 1001-3695(2020)07-014-1989-04

Publish History

[2020-07-05] Printed Article

Cite This Article

王斌, 房新秀, 吕瑞瑞, 等. 基于WNegNodeset结构的加权频繁项集挖掘算法 [J]. 计算机应用研究, 2020, 37 (7): 1989-1992,2010. (Wang Bin, Fang Xinxiu, Lyu Ruirui, et al. Mining frequent weighted itemsets based on WNegNodeset structure [J]. Application Research of Computers, 2020, 37 (7): 1989-1992,2010. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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