Business Process Mining Approaches: A Relative Comparison
July 20, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
Saiqa Aleem, Luiz Fernando Capretz, Faheem Ahmed
arXiv ID
1507.05654
Category
cs.SE: Software Engineering
Citations
9
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Recently, information systems like ERP, CRM and WFM record different business events or activities in a log named as event log. Process mining aims at extracting information from event logs to capture business process as it is being executed. Process mining is an important learning task based on captured processes. In order to be competent organizations in the business world; they have to adjust their business process along with the changing environment. Sometimes a change in the business process implies a change into the whole system. Process mining allows for the automated discovery of process models from event logs. Process mining techniques has the ability to support automatically business process (re)design. Typically, these techniques discover a concrete workflow model and all possible processes registered in a given events log. In this paper, detailed comparison among process mining methods used in the business process mining and differences in their approaches have been provided.
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