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The Data Classification Query Optimization Method for English Online Examination System Based on Grid Image Analysis

Kun Liu*

School of Foreign Languages, Henan University of Technology, Zhengzhou, Henan, 450001.
Address: 100 lianhua Street, High-tech Zone, Zhengzhou City, Henan Province.

* Corresponding Author: Kun Liu, email

Intelligent Automation & Soft Computing 2020, 26(4), 749-754. https://doi.org/10.32604/iasc.2020.010109

Abstract

In the English network examination system, the big data distribution is highly coupled, the cost of data query is large, and the precision is not good. In order to improve the ability of the data classification and query in the English network examination system, a method of data classification and query in the English network examination system is proposed based on the grid region clustering and frequent itemset feature extraction of the association rules. Using the grid image analysis to improve the statistical analysis of the English performance analysis, the collection and storage structure analysis of the information resource data of the English network examination system is carried out, and the feature of the information flow of the English network examination system is extracted and the auto-correlation feature analysis of the running data of the English network examination system is carried out. The feature quantity of the frequent item sets of the association rules, which reflects the running state of the English network examination system is extracted. The feature quantity of the closed frequent items of the extracted association rules is identified and classified by using the distributed clustering method of the grid region. In order to improve the target orientation of the data repository query in the English network examination system, the classification query of the data repository in the English network examination system is realized. The simulation results show that this method shows high precision and real-time performance in the English network examination system.

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APA Style
Liu, K. (2020). The data classification query optimization method for english online examination system based on grid image analysis. Intelligent Automation & Soft Computing, 26(4), 749-754. https://doi.org/10.32604/iasc.2020.010109
Vancouver Style
Liu K. The data classification query optimization method for english online examination system based on grid image analysis. Intell Automat Soft Comput . 2020;26(4):749-754 https://doi.org/10.32604/iasc.2020.010109
IEEE Style
K. Liu, "The Data Classification Query Optimization Method for English Online Examination System Based on Grid Image Analysis," Intell. Automat. Soft Comput. , vol. 26, no. 4, pp. 749-754. 2020. https://doi.org/10.32604/iasc.2020.010109

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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