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Research on Data Mining Technology based on Association Rules Algorithm

机译:基于关联规则算法的数据挖掘技术研究

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The current data mining technology has the mismatch problem of mining keywords and used words, which leads to low mining precision and low efficiency. In this paper, a new data mining algorithm based on association rule algorithm is proposed. the clustering analysis of new mining results are carried out by K-means clustering algorithm, and according to the descending order, the relevance is ordered, to output mining results. The experimental results show that the algorithm is accurate and efficient.
机译:当前的数据挖掘技术存在关键词和已用词挖掘不匹配的问题,导致挖掘精度低,效率低。提出了一种基于关联规则算法的数据挖掘算法。利用K-means聚类算法对新的采矿结果进行聚类分析,并按照降序排列相关性,以输出采矿结果。实验结果表明,该算法准确有效。

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