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Mining Process Models from Workflow Logs

title Mining Process Models from Workflow Logs
creator Agrawal, Rakesh
Gunopulos, Dimitrios
Leymann, Frank
date 1998-03
language eng
identifier  http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1998-44&engl=1
ISBN: 3-540-64264-1
ISBN: DOI:10.1007/BFb0100972
description Modern enterprises increasingly use the workflow paradigm to prescribe how business processes should be performed. Processes are typically modeled as annotated activity graphs. We present an approach for a system that constructs process models from logs of past, unstructured executions of the given process. The graph so produced conforms to the dependencies and past executions present in the log. By providing models that capture the previous executions of the process, this technique allows easier introduction of a workflow system and evaluation and evolution of existing process models. We also present results from applying the algorithm to synthetic data sets as well as process logs obtained from an IBM Flowmark installation.
publisher Springer
type Text
Article in Proceedings
source In: Schek, Hans-Jörg (ed.); Saltor, Fèlix (ed.); Ramos, Isidro (ed.); Alonso, Gustavo (ed.): Advances in Database Technology -- EDBT'98, pp. 469-483
contributor IAAS, Architektur von Anwendungssystemen
subject Database Applications (CR H.2.8)
Office Automation (CR H.4.1)
relation Lecture Notes in Computer Science; 1377