Algorithm Research & Explore
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1064-1069

Periodic pattern mining based on recency and correlation constraints

Yan Haibo
Xun Yaling
Ren Ziqian
Hou Yafei
Hu Xiaoying
College of Computer Science & Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China

Abstract

Traditional periodic pattern mining ignoreds the correlation and recency of the patterns, and therefore obtains some weakly correlated and recency patterns with limited practical value. To address the issue, this paper proposed novel periodic pattern mining methods based on recency and correlation constraints named CRPFP-BFS and CRPFP-DFS. By transforming a given database into a column-based structure CRPFP-List, CRPFP-BFS and CRPFP-DFS recursively mined its data using breadth-first and depth-first search, respectively. At the same time, CRPFP-BFS and CRPFP-DFS applied four pruning strategies based on support, period, recency and correlation to reduce the search space, thereby effectively discovering correlation recency periodic patterns. By comparing with the current state-of-the-art algorithms on dense and sparse datasets, and the experimental results show that the CRPFP-BFS and CRPFP-DFS have lower memory usage, higher operating efficiencies and good scalability. Among them, CRPFP-DFS is suitable for situations with strict memory requirements, and CRPFP-BFS performs more efficiently for long transaction sparse databases.

Foundation Support

国家自然科学基金资助项目(62272336)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0397
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Algorithm Research & Explore
Pages: 1064-1069
Serial Number: 1001-3695(2024)04-016-1064-06

Publish History

[2023-12-11] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

闫海博, 荀亚玲, 任姿芊, 等. 基于时效性和相关性约束的周期模式挖掘 [J]. 计算机应用研究, 2024, 41 (4): 1064-1069. (Yan Haibo, Xun Yaling, Ren Ziqian, et al. Periodic pattern mining based on recency and correlation constraints [J]. Application Research of Computers, 2024, 41 (4): 1064-1069. )

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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