IMPROVED BUSINESS DECISION-MAKING VIA LIQUID PROCESS MODEL COLLECTIONS

Grant number: DP150103356 | Funding period: 2018 - 2019

Completed

Abstract

This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in event logs. The approach is intended to be implemented in an open-source technology to facilitate advanced investigations and predictions that can ultimately lead to better strategic decision-making. This technology also has the potential to become a research-enabling too..

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Related publications (8)

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Stage-based Discovery of Business Process Models from Event Logs

Hoang Nguyen, Marlon Dumas, Arthur ter Hofstede, Marcello La Rosa, Fabrizio M Maggi

2019-09-01

An automated process discovery technique generates a process model from an event log recording the execution of a business process..

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Structural computation of alignments of business processes over partial orders

F Taymouri, J Carmona

2019-06-01

© 2019 IEEE. Relating event data and process models is becoming an important element for organizations. This paper presents a nove..

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Automated Discovery of Process Models from Event Logs: Review and Benchmark

A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, M Mecella, A Soo

2019-04-01

Process mining allows analysts to exploit logs of historical executions of business processes to extract insights regarding the ac..

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Outcome-oriented predictive process monitoring: Review and benchmark

I Teinemaa, M Dumas, ML Rosa, FM Maggi

2019-03-01

Predictive business process monitoring refers to the act of making predictions about the future state of ongoing cases of a busine..

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Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

A Augusto, R Conforti, M Dumas, M La Rosa

2019-01-01

The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Desp..

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Timestamp Repair for Business Process Event Logs

R Conforti, M La Rosa, A ter Hofstede

2018-04-05

This paper contributes an approach for automatically correcting timestamp errors in business process execution logs. These errors ..

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Automated Discovery of Structured Process Models From Event Logs: The Discover-and-Structure Approach

A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno

2018-01-01

This article tackles the problem of discovering a process model from an event log recording the execution of tasks in a business p..

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Multi-perspective comparison of business process variants based on event logs

H Nguyen, M Dumas, M La Rosa, AHM ter Hofstede

2018-01-01

© Springer Nature Switzerland AG 2018. A process variant represents a collection of cases with certain shared characteristics, e.g..