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Research on the improvement of Apriori algorithm and its application in intrusion detection system

机译:APRIORI算法改进及其在入侵检测系统中的应用研究

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The traditional association rule mining Apriori algorithm in time overhead, in view of the shortcomings of the Apriori algorithm, based on the theory of relational algebra using relationship matrix and related operations are the search for frequent item sets of association rules based on relational algebra theory of mining algorithm, by simulation experiment to compare the execution time of the two algorithms, data sample size and minimum support degree on the performance of the algorithm effect is discussed. Through a lot of simulation experiments prove that the improved Apriori algorithm is efficient, and the operation time of mining data set is reduced.
机译:传统的关联规则挖掘APRiori算法在时间开销,鉴于APRiori算法的缺点,基于使用关系矩阵的关系代数理论,以及相关操作的搜索基于关系代数理论的频繁项目组关联规则集挖掘算法,通过仿真实验比较两种算法的执行时间,讨论了对算法效应性能的数据样本大小和最小支持程度。通过许多模拟实验证明,改进的APRiori算法是有效的,并且降低了采矿数据集的操作时间。

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