Kun Liu*
Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 749-754, 2020, DOI: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… More >
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