In the last years the management and analysis of big data generated from information systems are becoming one of the most important topics in the Business Process Intelligence (BPI). In this field researchers show how Process Mining could become very helpful in bridging the gap between data and processes. The aim of this work is to present and discuss a brief review of the literature reporting most of the Process Mining chances that meet Big Data and the challenges carried out, showing the critical aspects and the advantages of different solutions.
Process Mining in Big Data Scenario / A. Azzini, E. Damiani - In: Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015)[s.l] : CEUR-WS.org, 2015. - pp. 149-153 (( Intervento presentato al 5. convegno Data-driven Process Discovery and Analysis tenutosi a Wien nel 2015.
Process Mining in Big Data Scenario
A. AzziniPrimo
;E. DamianiUltimo
2015
Abstract
In the last years the management and analysis of big data generated from information systems are becoming one of the most important topics in the Business Process Intelligence (BPI). In this field researchers show how Process Mining could become very helpful in bridging the gap between data and processes. The aim of this work is to present and discuss a brief review of the literature reporting most of the Process Mining chances that meet Big Data and the challenges carried out, showing the critical aspects and the advantages of different solutions.
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