Workflow Management Architecture Based on Data Mining

被引:0
作者
Kong, Lingdong [1 ,2 ]
Zhang, Hong [3 ]
Kong, Lifang [3 ]
机构
[1] China Univ Min & Technol, Sch Environm & Spatial Informat, Xuzhou 221008, Jiangsu, Peoples R China
[2] Yancheng Inst Technol, Dept Software Technol, Yancheng 224003, Jiangsu, Peoples R China
[3] China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221008, Jiangsu, Peoples R China
来源
DCABES 2008 PROCEEDINGS, VOLS I AND II | 2008年
关键词
Business Process Reengineering; Workflow; Static Data Mining; Dynamic Data Mining;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper probed into workflow technology applied in Business Process Reengineering and analyzed workflow model, workflow management process and workflow implementing process. Process definition and tool of management monitoring were extended locally in workflow model combining with data mining technology. Static data mining was added in the front-end of workflow process definition to extract rule database; dynamic data mining was added in the back-end of workflow management and monitoring tool for record database to bring strategy data base. Workflow management architecture will be put forward based on data mining. Further key technology has been put forward to actualize that static and dynamic data mining applied in the architecture combining with coal and gas outburst prediction of safety workflow management system.
引用
收藏
页码:384 / +
页数:2
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