With the advance of optimization and merger colleges and universities, a university often contains more than one campus. The traditional centralized education management system has been unable to meet the needs of use. The model detects the intrusion by dividing the clusters in the clustering result into normal clusters and abnormal clusters and analyzing the weighted average density of object to be detected in each cluster and the weighted overlapping distance of and each centre point. We verified the intrusion detection performance of the model on the KDD Cup 99 dataset. The experimental results show that the model established in this paper has certain theoretical value.

中文翻译：

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基于SQL数据库的财务数据查询与分配方案研究

随着大学的优化和合并的进步，一所大学通常包含多个校园。传统的集中式教育管理系统无法满足使用需求。该模型通过将聚类结果中的聚类分为正常聚类和异常聚类，并分析每个聚类中要检测的对象的加权平均密度以及每个中心点与每个中心点的加权重叠距离，来检测入侵。我们在KDD Cup 99数据集上验证了该模型的入侵检测性能。实验结果表明，所建立的模型具有一定的理论价值。