TY - GEN
T1 - Discovering Workflow Patterns from Timed Logs
AU - Gaaloul, Walid
AU - Bhiri, Sami
AU - Godart, Claude
N1 - Publisher Copyright:
© 2004 Gesellschaft fur Informatik (GI). All rights reserved.
PY - 2004/1/1
Y1 - 2004/1/1
N2 - Traditionally, workflow modeling is typically done by interviews or questionnaires which stay quite limited for the acquisition of workflow models and their adaptation to changing requirements. In order to build such model, this paper proposes to “reverse the process”. The approach, we propose, is able to acquire workflow model from workflow log, which contains information about execution events. This paper presents a mining technique to discover workflows patterns (e.g. Sequence, Parallel split, Exclusive choice, etc.) from workflow event log in the objective to build a global workflow model. An event log is a view of a workflow execution at a given instant. The mining of workflow patterns is done by the combination of two complementary techniques: an algorithmic technique and a statistical analysis. The building of the global workflow model is done with bottom-up approach. The discovering technique proposed can deal with some ambiguities where the single use of an algorithmic technique method cannot resolve.
AB - Traditionally, workflow modeling is typically done by interviews or questionnaires which stay quite limited for the acquisition of workflow models and their adaptation to changing requirements. In order to build such model, this paper proposes to “reverse the process”. The approach, we propose, is able to acquire workflow model from workflow log, which contains information about execution events. This paper presents a mining technique to discover workflows patterns (e.g. Sequence, Parallel split, Exclusive choice, etc.) from workflow event log in the objective to build a global workflow model. An event log is a view of a workflow execution at a given instant. The mining of workflow patterns is done by the combination of two complementary techniques: an algorithmic technique and a statistical analysis. The building of the global workflow model is done with bottom-up approach. The discovering technique proposed can deal with some ambiguities where the single use of an algorithmic technique method cannot resolve.
UR - https://www.scopus.com/pages/publications/55949099216
M3 - Conference contribution
AN - SCOPUS:55949099216
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 84
EP - 94
BT - EMISA 2004 - Informationssysteme im E-Business und E-Government, Beitrage des Workshops der GI-Fachgruppe EMISA
A2 - Feltz, Fernand
A2 - Oberweis, Andreas
A2 - Otjacques, Benoit
PB - Gesellschaft fur Informatik (GI)
T2 - Informationssysteme im E-Business und E-Government, Beitrage des Workshops der GI-Fachgruppe EMISA, EMISA 2004 - Information Systems in E-Business and E-Government. Contributions to the Workshop of the GI Special Interest Group EMISA, EMISA 2004
Y2 - 6 October 2004 through 8 October 2004
ER -