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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
330-340

Survey of key technologies for high utility patterns mining

Zhang Chunyan
Han Meng
Sun Rui
Du Shiyu
Shen Mingyao
School of Computer Science & Engineering, North Minzu University, Yinchuan 750021, China
DOI: 10.19734/j.issn.1001-3695.2020.02.0027

Abstract

This paper provided a comprehensive and structured survey by analyzing the most advanced methods of HUPM. First of all, this paper introduced the relevant concepts and formulas of HUPM and gave application examples of HUPM. It classified and analyzed the most common and advanced key technologies used to mine different types of HUPM, including Apriori-based, tree-based, list-based, projection-based, vertical/horizontal data-based, index-based, and more. Because the static data is difficult to meet the actual needs, this paper summarized the HUPM methods applied on the data stream, mainly including based on the incremental methods, based on the sliding window model methods, based on the time decay model methods, based on the landmark model methods and so on. Finally, this paper gave the shortcomings of the current technologies and the direction of improvement, and proposed new research methods in a targeted manner.

Foundation Support

国家自然科学基金资助项目(62062004)
宁夏自然科学基金资助项目(2020AAC03216)
宁夏高等学校一流学科建设资助项目(电子科学与技术学科)(NXYKXY2017A07)
北方民族大学研究生创新基金资助项目(YCX20061)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0027
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Survey
Pages: 330-340
Serial Number: 1001-3695(2021)02-002-0330-11

Publish History

[2021-02-05] Printed Article

Cite This Article

张春砚, 韩萌, 孙蕊, 等. 高效用模式挖掘关键技术综述 [J]. 计算机应用研究, 2021, 38 (2): 330-340. (Zhang Chunyan, Han Meng, Sun Rui, et al. Survey of key technologies for high utility patterns mining [J]. Application Research of Computers, 2021, 38 (2): 330-340. )

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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