Mining configurable enterprise information systems

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Process mining aim at extracting a process model from system logs. These logs have to meet minimum requirements, i.e. each event should refer to a case and a task. Some system logs do not meet these requirements, and therefore it is not possible to use process mining for process optimization or delta analysis. This paper shows an alternative process mining procedure for logs containing only data on the number of times that process steps have been executed (i.e., frequencies). To be able to mine such logs we apply Configurable Event-driven Process Chains (C-EPCs). If a C-EPC is available, we propose a method to mine the process. If only a classical reference model (i.e., an EPC) is available, we propose a method to first derive the C-EPC through mining and then analyze the process. This approach enables us to do process mining in the context of ERP systems such as the SAP solutions.

论文关键词:Data and process re-engineering,Data mining,Knowledge discovery,Reference models,Enterprise information systems

论文评审过程:Received 29 November 2004, Revised 29 November 2004, Accepted 24 March 2005, Available online 26 April 2005.

论文官网地址:https://doi.org/10.1016/j.datak.2005.03.007