Algorithm Research & Explore
|
398-400,423

Improved Apriori algorithm based on binary encoding

Hu Shichang
Li Jinhua
Wang Changying
School of Data Science & Software Engineering, Qingdao University, Qingdao Shandong 266071, China

Abstract

Apriori algorithm has to scan the database multiple times when mining frequent item sets, resulting in inefficiencies because of frequent IO operations. To improve efficiency of Apriori algorithm, this paper proposed BE-Apriori algorithm, which made full use of the advantages of binary numbers compared to the memory usage and computational speed of various data structures in programming languages. It loaded the transaction record with binary encoding into memory through, then translated the set operations into the equivalent binary number operations. The analysis of algorithm performance and the experimental result using the poisonous mushroom data in the UCI data show that BE-Apriori can correctly mine frequent itemsets and has better performance than the original Apriori algorithm.

Foundation Support

全国统计科学研究项目(2017LY14)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0519
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Algorithm Research & Explore
Pages: 398-400,423
Serial Number: 1001-3695(2020)02-016-0398-03

Publish History

[2020-02-05] Printed Article

Cite This Article

胡世昌, 李劲华, 王常颖. 基于二进制编码的Apriori改进算法 [J]. 计算机应用研究, 2020, 37 (2): 398-400,423. (Hu Shichang, Li Jinhua, Wang Changying. Improved Apriori algorithm based on binary encoding [J]. Application Research of Computers, 2020, 37 (2): 398-400,423. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)