DocumentCode :
655129
Title :
Effective Team Formation in Workflow Process Context
Author :
Shangquan Lin ; Zilong Luo ; Yang Yu ; Maolin Pan
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guanzhou, China
fYear :
2013
fDate :
Sept. 30 2013-Oct. 2 2013
Firstpage :
508
Lastpage :
513
Abstract :
With the purpose of improving the efficiency to accomplish a business process, how to form a multi-role collaborative team is a valuable research in the field of workflow. In this paper, based on the information about personal expertise and handover relations mined from event-log, we model the problem with Hidden Markov Models (HMM), then we use Viterbi algorithm to solve the problem. Finally we carry out experiments on actual data-set released by BPIC 2012 to evaluate the performance of our algorithm. The result shows we achieve at least 12% improve in the average efficiency of actual situation. Compared with the strategy only consider communication cost, our algorithm achieve a significant increase in efficiency (at most 408%), with a slight increase in communication cost (6.3%).
Keywords :
business data processing; data mining; groupware; hidden Markov models; team working; workflow management software; BPIC 2012; HMM; Viterbi algorithm; business process; communication cost; effective team formation; event-log mining; handover relations; hidden Markov models; multirole collaborative team; personal expertise; workflow process context; Business; Context; Educational institutions; Handover; Hidden Markov models; Viterbi algorithm; HMM; business process; event-log; handover; team formation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud and Green Computing (CGC), 2013 Third International Conference on
Conference_Location :
Karlsruhe
Type :
conf
DOI :
10.1109/CGC.2013.85
Filename :
6686077
Link To Document :
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