摘要
收集某商业银行总行数据中心汇总的ATM机交易信息,对其交易量、交易成功率、交易响应时间三个指标进行量化分析,来掌握整个应用系统运行情况。然后运用拉依达准则法分别对交易量,成功率和响应时间取±3σ作为置信区间,并且用C语言编程相应的检测代码。最后在得到特征参数即均值和标准差的情况下,将在±3σ以外的点判断为异常点。
This paper collects the ATM transaction information collected from the data center of a commercial bankheadquarters, and makesa quantitative analysis of its transaction volume, transaction success rate and transactionre sponse time to grasp the operation of the entire application system. In this paper, pauta criterion method is used totakex±3σ as confidence interval for trading volume, success rate and response time, and C language is used toprogram the corresponding detection code. When the characteristic parameter is the mean value and standard deviation,the point beyondx±3σ is regarded as an outlier.
作者
倪贤卿
梁华卓
冯健鋆
高卓
Ni Xianqing;Liang Huazhuo;Feng Jianjun;Gao Zhuo(School of Economics and Management,Zhujiang College of South China Agricultural University,Guangzhou Guangdong 510900;School of Information Engineering,Zhujiang College of South China Agricultural University,Guangzhou Guangdong 510900;Department of Basic Courses,Zhujiang College of South China Agricultural University,Guangzhou Guangdong 510900)
出处
《现代工业经济和信息化》
2018年第15期131-134,共4页
Modern Industrial Economy and Informationization
基金
广东省特色创新类项目(2016GXJK222)
广东省教育教学成果奖培育项目(1322)
国家级大学生创新创业训练项目(201712623001)
关键词
交易信息
量化分析
拉依达准则
置信区间
transaction information
quantitative analysis
pauta criterion
confidence interval
