DocumentCode
3502019
Title
A Workflow Frequent Pattern Mining Algorithm
Author
Zhao, Weidong ; Ye, Mao
Author_Institution
Sch. of Software, Fudan Univ., Shanghai
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
3685
Lastpage
3688
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.911
Filename
4340686
Link To Document