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.
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References
Xu, B.: Massive incomplete data approximate query system based on improved K-nearest neighbor algorithm. Mod. Electron. Tech. 44(15), 177–181 (2021)
Teng, Z., Liao, Z.: Differentiated service mechanism for data query on named data networking. Comput. Eng. Appl. 55(9), 17–25+86 (2019)
Gao, J., Yang, F.: Semi-structured data query optimization algorithm based on swarm intelligence. Comput. Simul. 38(8), 381–385 (2021)
Lian, J., Fang, S., Zhou, Y.: Model predictive control of the fuel cell cathode system based on state quantity estimation. Comput. Simul. 37(07), 119–122 (2020)
Su, J., Xu, R., Yu, S., Wang, B., Wang, J.: Idle slots skipped mechanism based tag identification algorithm with enhanced collision detection. KSII Trans. Internet Inf. Syst. 14(5), 2294–2309 (2020)
Su, J., Xu, R., Yu, S., et al.: Redundant rule detection for software-defined networking. KSII Trans. Internet Inf. Syst. 14(6), 2735–2751 (2020)
Ma, Z., Yuan, H., Gu, Y., et al.: Research and implementation of document-relational data query execution technology. J. Front. Comput. Sci. Technol. 14(08), 1315–1326 (2020)
Yun, W.: Improved Simulation of Large-Scale Hybrid Network Database Fuzzy Query Algorithm. Computer Simulation 37(05), 246–249 (2020)
Lu, S., Chen, H.: A survey on data query optimization with machine learning. Wirel. Commun. Technol. 29(04), 5–10 (2020)
Zhao, Y., Hu, L.: Design of preference query system based on linked data in open environment. Comput. Technol. Dev. 30(09), 7–11 (2020)
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Y., Ma, L. (2023). Optimization of Data Query Method Based on Fuzzy Theory. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_5
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DOI: https://doi.org/10.1007/978-3-031-28787-9_5
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