scholarly journals Split miner: automated discovery of accurate and simple business process models from event logs

2018 ◽  
Vol 59 (2) ◽  
pp. 251-284 ◽  
Author(s):  
Adriano Augusto ◽  
Raffaele Conforti ◽  
Marlon Dumas ◽  
Marcello La Rosa ◽  
Artem Polyvyanyy
Keyword(s):  
Business Process ◽  
Process Models ◽  
Business Process Models ◽  
Event Logs ◽  
Automated Discovery

scholarly journals Towards Aspects Identification in Business Process Through Process Mining

2015 ◽  
Author(s):  
Bruna Brandão ◽  
Flávia Santoro ◽  
Leonardo Azevedo
Keyword(s):  
Programming Languages ◽  
Business Process ◽  
Process Model ◽  
Process Mining ◽  
Process Models ◽  
Preliminary Evaluation ◽  
Crosscutting Concerns ◽  
Business Process Models ◽  
Event Logs ◽  
Initial Results

In business process models, elements can be scattered (repeated) within different processes, making it difficult to handle changes, analyze process for improvements, or check crosscutting impacts. These scattered elements are named as Aspects. Similar to the aspect-oriented paradigm in programming languages, in BPM, aspect handling has the goal to modularize the crosscutting concerns spread across the models. This process modularization facilitates the management of the process (reuse, maintenance and understanding). The current approaches for aspect identification are made manually; thus, resulting in the problem of subjectivity and lack of systematization. This paper proposes a method to automatically identify aspects in business process from its event logs. The method is based on mining techniques and it aims to solve the problem of the subjectivity identification made by specialists. The initial results from a preliminary evaluation showed evidences that the method identified correctly the aspects present in the process model.

A New Approach for Discovering Business Process Models from Event Logs

2007 ◽  
Author(s):  
Stijn Goedertier ◽  
David Martens ◽  
Bart Baesens ◽  
Raf Haesen ◽  
Jan Vanthienen
Keyword(s):  
Business Process ◽  
Process Models ◽  
New Approach ◽  
Business Process Models ◽  
Event Logs

scholarly journals Slice, Mine and Dice: Complexity-Aware Automated Discovery of Business Process Models

2013 ◽  
pp. 49-64 ◽  
Author(s):  
Chathura C. Ekanayake ◽  
Marlon Dumas ◽  
Luciano García-Bañuelos ◽  
Marcello La Rosa
Keyword(s):  
Business Process ◽  
Process Models ◽  
Business Process Models ◽  
Automated Discovery

scholarly journals Stage-based discovery of business process models from event logs

2019 ◽  
Vol 84 ◽  
pp. 214-237 ◽  
Author(s):  
Hoang Nguyen ◽  
Marlon Dumas ◽  
Arthur H.M. ter Hofstede ◽  
Marcello La Rosa ◽  
Fabrizio Maria Maggi
Keyword(s):  
Business Process ◽  
Process Models ◽  
Business Process Models ◽  
Event Logs

scholarly journals Controlled automated discovery of collections of business process models

2014 ◽  
Vol 46 ◽  
pp. 85-101 ◽  
Author(s):  
Luciano García-Bañuelos ◽  
Marlon Dumas ◽  
Marcello La Rosa ◽  
Jochen De Weerdt ◽  
Chathura C. Ekanayake
Keyword(s):  
Business Process ◽  
Process Models ◽  
Business Process Models ◽  
Automated Discovery

scholarly journals Correlation Miner: Mining Business Process Models and Event Correlations Without Case Identifiers

2017 ◽  
Vol 26 (02) ◽  
pp. 1742002 ◽  
Author(s):  
Shaya Pourmirza ◽  
Remco Dijkman ◽  
Paul Grefen
Keyword(s):  
Business Process ◽  
Process Model ◽  
Process Models ◽  
Unique Case ◽  
Capture Process ◽  
Business Process Models ◽  
Event Logs ◽  
Service Oriented ◽  
Discovery Algorithms ◽  
Oriented System

Process discovery algorithms aim to capture process models from event logs. These algorithms have been designed for logs in which the events that belong to the same case are related to each other — and to that case — by means of a unique case identifier. However, in service-oriented systems, these case identifiers are rarely stored beyond request-response pairs, which makes it hard to relate events that belong to the same case. This is known as the correlation challenge. This paper addresses the correlation challenge by introducing a technique, called the correlation miner, that facilitates discovery of business process models when events are not associated with a case identifier. It extends previous work on the correlation miner, by not only enabling the discovery of the process model, but also detecting which events belong to the same case. Experiments performed on both synthetic and real-world event logs show the applicability of the correlation miner. The resulting technique enables us to observe a service-oriented system and determine — with high accuracy — which request-response pairs sent by different communicating parties are related to each other.

scholarly journals Evaluation and Lessons Learned from a Campus as a Living Lab Program to Promote Sustainable Practices

2021 ◽  
Vol 13 (4) ◽  
pp. 1739
Author(s):  
Paul Save ◽  
Belgin Terim Cavka ◽  
Thomas Froese
Keyword(s):  
Learning Curve ◽  
Business Process ◽  
Lessons Learned ◽  
Process Models ◽  
Sustainable Practices ◽  
Business Process Models ◽  
District Energy ◽  
University Of British Columbia ◽  
Living Lab ◽  
The University

Any group that creates challenging goals also requires a strategy to achieve them and a process to review and improve this strategy over time. The University of British Columbia (UBC) set ambitious campus sustainability goals, including a reduction in its greenhouse gas emissions to 33% below the 2007 level by 2015, and 100% by 2050 (UBC, 2006). The University pursued these goals through a number of specific projects (such as major district energy upgrade and a bioenergy facility) and, more generally, through a “Campus as a Living Lab” (CLL) initiative to marry industry, campus operations, and research to drive innovative solutions. The CLL program has achieved significant successes while also demonstrating many opportunities for improvements and lessons learned. The aim of this study was to examine the UBC CLL program, to identify and formalize its operations, to extract key transferable characteristics, and to propose replicable processes that other universities and municipalities can follow to expand their sustainable practices in similar ways. There was a learning curve with implementing a CLL program at UBC; thus, the goal of this study was to potentially shorten this learning curve for others. The research involved an ethnographic approach in which researchers participated in the CLL process, conducted qualitative analysis, and captured the processes through a series of business process models. The research findings are shared in two parts: 1. generalized lessons learned through key transferrable characteristics; 2. a series of generic organizational charts and business process models (BPMs) culminated with learned strategies through defined processes that illustrate what was required to create a CLL program at UBC. A generalized future improvement plan for UBC CLL programs is defined, generic BPMs about CLL projects are evaluated, and the level of engagement of multiple stakeholders through phases of project life cycle given in the conclusion for future use of other Living Lab organizations.

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