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• W1880776352 abstract "All business processes leave their ‘imprints’ in enterprise systems. For example, business process events are recorded in logs for Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Supply Chain Management (SCM) systems. This paper focuses on the potential use of association rule algorithms as data mining techniques in the field of process mining. A process map is extracted using the proposed approach. Managers can understand the real process steps that are hidden in data logs with the help of this process map. This paper uses an approach that combines previously established (‘apriori’) procedures with a process model discovered by process mining (analysis of business processes based on relevant records). This paper also provides an original approach that can help organizations with Business Intelligence (BI) implementation and with creating models extracted from enterprise systems logs." @default.
• W1880776352 created "2016-06-24" @default.
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• W1880776352 date "2011-01-01" @default.
• W1880776352 modified "2023-09-28" @default.
• W1880776352 title "Association Rule Approach for Evaluation of Business Intelligence for Enterprise Systems" @default.
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