Title :
A Workflow Frequent Pattern Mining Algorithm
Author :
Zhao, Weidong ; Ye, Mao
Author_Institution :
Sch. of Software, Fudan Univ., Shanghai
Abstract :
To improve workflow for adapting to the uncertainty of business environments, workflow frequent patterns are used. First, the frequent pattern discovery problem is defined, and a frequent pattern-mining algorithm based on Apriori algorithm is proposed. Frequent patterns can quantify the strength of logical relations between activities and trend forecast and crucial business decision-making can be supported by frequent patterns in key activities.
Keywords :
business data processing; data mining; workflow management software; business decision-making; business environments uncertainty; frequent pattern discovery problem; workflow frequent pattern mining algorithm; Decision making; Logic; Real time systems; Software algorithms; Surveillance; Uncertainty; Workflow management software;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.911
