Optimization of Data Query Method Based on Fuzzy Theory

Yunwei Li; Lei Ma

Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Optimization of Data Query Method Based on Fuzzy Theory

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-031-28787-9_5,
    author={Yunwei Li and Lei Ma},
    title={Optimization of Data Query Method Based on Fuzzy Theory},
    proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
    proceedings_a={ADHIP},
    year={2023},
    month={3},
    keywords={Fuzzy theory Data query Data management Feature recognition Feature classification},
    doi={10.1007/978-3-031-28787-9_5}
}

Yunwei Li
Lei Ma
Year: 2023
Optimization of Data Query Method Based on Fuzzy Theory
ADHIP
Springer
DOI: 10.1007/978-3-031-28787-9_5

Yunwei Li¹^,*, Lei Ma²

1: Beijing Youth Politics College
2: Beijing Polytechnic

*Contact email: liyunwei@bjypc.edu.cn

Abstract

In order to achieve the research goal of fast and accurate query of massive complex data, this study proposes a data query optimization method based on fuzzy theory. Firstly, the characteristics of the data to be queried are identified combined with the fuzzy theory, and the characteristics are classified. Then, the data management model is constructed to optimize the data query management process. The experimental results show that this method can effectively ensure the accuracy and comprehensiveness of massive data query, and prove that it can fully meet the research requirements.

Keywords: Fuzzy theory Data query Data management Feature recognition Feature classification

Published: 2023-03-22
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-031-28787-9_5

Optimization of Data Query Method Based on Fuzzy Theory

Abstract

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