Mining configurable enterprise information systems

Autor:	Michael Rosemann, MH Monique Jansen-Vullers, W.M.P. van der Aalst
Přispěvatelé:	Information Systems IE&IS
Rok vydání:	2006
Předmět:	Information Systems and Management Database Data stream mining Computer science Process mining Business process modeling computer.software_genre Alternative process Business process discovery Knowledge extraction Process optimization Data mining Enterprise information system computer
Zdroj:	Data & Knowledge Engineering, 56(3), 195-244. Elsevier
ISSN:	0169-023X
DOI:	10.1016/j.datak.2005.03.007
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc6779b99735cb5f8d404b89aa567821 https://doi.org/10.1016/j.datak.2005.03.007 Zobrazit plný text záznamu Full Text from ScienceDirect