Title :
Design of Intelligent Business Process System and Process Remodeling
Author :
Li, Yan ; Deng, Shao-Ling
Author_Institution :
Sch. of Econ. & Manage., Shanghai Maritime Univ., Shanghai
Abstract :
Traditional business process management systems only focus on process definition and running. This paper designs an intelligent business process system to realize process diagnosis, analysis, optimization, and prediction. Process mining engine is the key component of the intelligent system. This paper designs a process mining algorithm based on Markov matrix to realize business process remodeling. Realization of intelligent business process system can effectively improve the process management ability of managers.
Keywords :
business data processing; Markov matrix; intelligent business process management system; process diagnosis; process mining engine; process remodeling; Algorithm design and analysis; Conference management; Data warehouses; Design optimization; Engines; Heuristic algorithms; Intelligent systems; Process design; Software engineering; Technology management; Business Process System; Process Remodeling; Process mining;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.131
