Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
2974-2980

Improved parallel association rules incremental mining algorithm

Mao Yimina
Deng Qianhua
Deng Xiaohongb
Liu Weib
a. School of Information Engineering, b. College of Applied Science, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0084

Abstract

In the big data environment, the Can-tree based on incremental association rule algorithm has problems such as too much space occupation of the tree structure, the efficiency of frequent pattern mining is poor, and the parallelization perfor-mance of MapReduce cluster is insufficient. Aiming at these problems, this paper proposed the MR-PARIRM. Firstly, it designed a RS-SIM to merge similar items in the dataset, and constructed Can-tree based on the merged data, thereby reducing the space occupation of the tree structure. Secondly, this paper proposed an MPS to prune and merge the propagation paths in the tree structure, thereby compressing the frequent pattern search space to speed up frequent item mining. Finally, MR-PARIRM used the DSS to dynamically schedule the computing tasks in the heterogeneous MapReduce cluster, thereby implementing the load balance and effectively improving the parallel computing capabilities of the cluster. The final experimental simulation results show that MR-PARIRM has relatively better performance in the big data environment and is suitable for parallel proces-sing of large-scale data.

Foundation Support

国家重点研发计划资助项目(2018YFC1504705)
国家自然科学基金资助项目(41562019,61762046)
江西省教育厅科技资助项目(GJJ209407)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0084
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 2974-2980
Serial Number: 1001-3695(2021)10-015-2974-07

Publish History

[2021-10-05] Printed Article

Cite This Article

毛伊敏, 邓千虎, 邓小鸿, 等. 改进的并行关联规则增量挖掘算法 [J]. 计算机应用研究, 2021, 38 (10): 2974-2980. (Mao Yimin, Deng Qianhu, Deng Xiaohong, et al. Improved parallel association rules incremental mining algorithm [J]. Application Research of Computers, 2021, 38 (10): 2974-2980. )

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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