Abstract
Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performance when used to discover transactional workflow that cannot be seen at the level of behavioral aspects of workflow. Their limitations mainly come from their incapacity to discover the transactional dependencies between process activities, or activities transactional properties. In this paper, we describe mining techniques, which are able to discover a workflow model, and to improve its transactional behavior from event logs. We propose an algorithm to discover workflow patterns and workflow termination states (WTS). Then based on the discovered control flow and set of termination states, we use a set of rules to mine the workflow transactional behavior.
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Gaaloul, W., Bhiri, S., Godart, C. (2004). Discovering Workflow Transactional Behavior from Event-Based Log. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE. OTM 2004. Lecture Notes in Computer Science, vol 3290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30468-5_3
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DOI: https://doi.org/10.1007/978-3-540-30468-5_3
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