The Data Preprocessing of Behavior Pattern Discovering in Collaboration Environment
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Efficient ticket routing by resolution sequence mining
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Aprimorando processos de imputação multivariada de dados com workflows
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Efficiently discovering critical workflows in scientific explorations
Future Generation Computer Systems
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CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Towards mining structural workflow patterns
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It is obvious to notice that in collaborative applications, considerable processes are either implicit, or integrate existing processes. The discovery, and the explanation of these processes are a hot research topic. The work described in this paper is a contribution to these problems. Generally, workflow mining proposes techniques to acquire aworkflow model from a workflow log. In this paper, we present a new workflow mining technique to discover workflow patterns. This technique combines complementarily an algorithmic technique and a statistical analysis technique. This combination can deal with some ambiguities that the single use of the statistical analysis technique cannot resolve.