求翻译：通过实验表明，本文提出的基于模糊集和二维Hash优化的Apriori算法具有比标准Apriori算法更小的内存消耗和更快的运行速度，将该改进模型应用于教学信息数据挖掘中，大大增加了规则挖掘的精确性是什么意思？

The simulation results show that , Apriori algorithm based on fuzzy sets and two-dimensional Hash proposed optimization has a smaller than standard Apriori algorithm memory consumption and faster speed , improved model is applied to the teaching of information in data mining , has greatly increased

Through the Emulation experiments have shown that this presented, based on fuzzy sets and 2D Hash optimized Apriori algorithm has more than standard Apriori algorithms are more small memory consumption and a faster speed, and the improved model applied to teaching information data mining, has greatl

Indicated through the simulation experiment that, this article proposes the Apriori algorithm which optimizes based on the fuzzy set and two-dimensional Hash to have compared to the standard Apriori algorithm smaller memory consumption and the quicker running rate, applies this improvement model in

The simulation results show that proposed in this paper based on fuzzy sets and optimization of two dimensional Hash of Apriori algorithm is smaller than the standard Apriori algorithm of memory consumption and faster running speeds, the improved information in data mining models for teaching, which

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