A Recommendation Method of BPEL Activity Based on Association Rules Mining

Author

Deng Na ; Chen Junliang ; Cheng Bo ; Li Desheng ; Li Changbao

Author_Institution

State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2010

fDate

10-12 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

As the de facto standard, Business Process Execution Language (BPEL) is widely used in the composition and orchestration of web services; however, it is tiring and error-prone if we just rely on the developers to create every activity icon and assign it an atomic service. On the basis of the author´s early work, this paper creatively applies association rules mining to the analysis of BPEL process, and put forwards a recommendation method of BPEL activity based on Labeled Activity Tree (LAT) and sub-activity sequence (subASeq). Finally, the experiment result of the BPEL processes in a multimedia conference system indicates this method´s validity.

Keywords

Web services; business data processing; data mining; recommender systems; BPEL activity; LAT; association rules mining; atomic service; business process execution language; de facto standard; labeled activity tree; multimedia conference system; recommendation method; subASeq; subactivity sequence; web services orchestration; Association rules; Business; Itemsets; Joining processes; Multimedia communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5391-7

Electronic_ISBN

978-1-4244-5392-4

Type

conf

DOI

10.1109/CISE.2010.5676862

Filename

5676862