An Extended CompDepend-Algorithm to Discovery Duplicate Tasks in Workflow Process Mining System

The workflow mining technology had become a hot research field among computer application. In current mining algorithm, duplicated tasks are hard to be modeled. This paper proposes an extended CompDepend-Algorithm able to discovery duplicate tasks. Firstly, a new data structure based on sequence set...

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Bibliographic Details
Published in2009 International Conference on Research Challenges in Computer Science pp. 259 - 262
Main Authors Wang XiaoHui, Zhao WenQing, Guo FengJuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Algorithm design and analysis
Computer applications
Computer science
Data structures
duplicate tasks
extended directed graph
Neural networks
Power system modeling
sequence set
Software algorithms
Software engineering
Tellurium
Uncertainty
workflow mining
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Summary:The workflow mining technology had become a hot research field among computer application. In current mining algorithm, duplicated tasks are hard to be modeled. This paper proposes an extended CompDepend-Algorithm able to discovery duplicate tasks. Firstly, a new data structure based on sequence set is designed to describe duplicate tasks. Secondly, rules to discover duplicated tasks based on dependency relationship are proposed. Then the algorithm of workflow mining based these rules is given. At last, Experimental results prove that the algorithm is effective.
ISBN:9781424454099
9780769539270
1424454093
0769539270
DOI:10.1109/ICRCCS.2009.73