Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 1
102-105,112

Improved ID3 decision tree algorithm induced by neighborhood equivalence relation

Xie Xina,b
Zhang Xianyonga,b
Yang Jilinb,c
a. School of Mathematical Sciences, b. Institute of Intelligent Information & Quantum Information, c. College of Computer Science, Sichuan Normal University, Chengdu 610066, China
DOI: 10.19734/j.issn.1001-3695.2021.06.0294

Abstract

This paper applied the classical ID3 decision tree algorithm for discrete data classification. However, it required data discretization for continuous data processing, and this process easily caused information loss. This paper proposed the neighborhood equivalence relationship to induce the neighborhood ID3(NID3) decision tree algorithm. The NID3 algorithm improved the ID3 decision tree algorithm, which could directly implement continuous prediction and obtained better classification results. In the neighborhood decision system, this paper mined a neighborhood equivalence relationship. Then, based on the equivalent granulation of the neighborhood, this paper constructed the neighborhood information metric. Finally, this paper designed the NID3 decision tree algorithm based on the neighborhood information gain. As verified by both case analyses and data experiments, algorithm NID3 is effective for continuous data classification, and it outperforms ID3 algorithm in classification machine learning.

Foundation Support

国家自然科学基金资助项目(61673258,11671284)
四川省科技计划项目(2021YJ0085,2019YJ0529)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0294
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Algorithm Research & Explore
Pages: 102-105,112
Serial Number: 1001-3695(2022)01-018-0102-04

Publish History

[2021-10-09] Accepted Paper
[2022-01-05] Printed Article

Cite This Article

谢鑫, 张贤勇, 杨霁琳. 邻域等价关系诱导的改进ID3决策树算法 [J]. 计算机应用研究, 2022, 39 (1): 102-105,112. (Xie Xin, Zhang Xianyong, Yang Jilin. Improved ID3 decision tree algorithm induced by neighborhood equivalence relation [J]. Application Research of Computers, 2022, 39 (1): 102-105,112. )

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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