Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
167-171

Partitioned parallel association rules mining algorithm based on storage improvement

Wang Yonggui
Xie Nan
Qu Haicheng
School of Software, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0396

Abstract

In order to further improve the speed of the association rules mining frequent sets and optimize the execution performance of the algorithm, this paper proposed an association rule mining algorithm based on improved memory structure. Based on the Spark distributed framework, the proposed algorithm mined frequent sets in parallel. It used the Bloom filter to store the project in the mining process, and simplified the operation of the transaction set and the candidate set, so as to optimize the speed of mining frequent sets and save the computing resources. Compared with the YAFIM and the MR-Apriori algorithm, the proposed algorithm has a significant improvement in the efficiency of mining frequent sets under the condition of occupying less memory. The algorithm can not only improve the mining speed and reduce the memory pressure, but also has good scalability, so that the algorithm can be applied to larger data sets and clusters to optimize the performance.

Foundation Support

国家自然科学基金资助项目(61404069)
国家自然科学基金青年基金资助项目(41701479)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0396
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 167-171
Serial Number: 1001-3695(2020)01-035-0167-05

Publish History

[2020-01-05] Printed Article

Cite This Article

王永贵, 谢南, 曲海成. 基于存储改进的分区并行关联规则挖掘算法 [J]. 计算机应用研究, 2020, 37 (1): 167-171. (Wang Yonggui, Xie Nan, Qu Haicheng. Partitioned parallel association rules mining algorithm based on storage improvement [J]. Application Research of Computers, 2020, 37 (1): 167-171. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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