摘要
由于关键业务领域流程复杂,一般电子监察系统难以对复杂业务流程进行监察.笔者研究了一种智能电子监察模型,通过对业务系统空间矩阵建模,节点的多维度监察分析,构建了基于规则推理和相关性数据挖掘的算法.在动态采集节点大数据的基础上,依据该模型、算法和监察引擎等技术,给出以统一规范标准的RGB信号为特征的电子监察结果.该研究结果较好地解决了复杂系统多维动态监察问题,并在国内多领域电子监察系统中得到应用,取得了较好的效果.
As the key business areas process is more complex,general electronic monitoring systems are difficult to monitor complex business process. The author studies a kind of intelligent electronic monitoring model. Through modeling business system spatial matrix and analyzing multi-dimensional monitoring of nodes,an algorithm based on rule reasoning and correlation data mining is proposed. On the basis of dynamically collecting large data of nodes,the unified standard RGB signal characteristics of the electronic monitoring results are given based on the model,algorithm and monitoring engine and other technologies,This study results can solve the problem of multi-dimensional dynamic monitoring of complex system. This method has been applied in the domestic multi-field electronic monitoring system and achieved good results.
作者
郝平
郑洲
郝卿颖
余育青
HAO Ping;ZHENG Zhou;HAO Qingying;YU Yuqing(Zhijiang College, Zhejiang University of Technology, Shaoxing 312000, China;College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China;Information. Security Institute, Johns Hopkins University, Baltimore 21210, USA;College of Electrical and Electronic Engineering, Zhejiang Industry Polytechnic College, Shaoxing 312000, China)
出处
《浙江工业大学学报》
CAS
北大核心
2018年第1期21-26,共6页
Journal of Zhejiang University of Technology
基金
国家自然科学基金资助项目(61603338)
浙江省信息服务业发展专项计划项目(2014-104)
关键词
监察点
监察引擎
数据挖掘
工作流
monitoring node
monitoring engine
data mining
workflow