Automated discovery of process models from event logs: Review and benchmark

A Augusto, R Conforti, M Dumas… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Process mining allows analysts to exploit logs of historical executions of business processes
to extract insights regarding the actual performance of these processes. One of the most …

Process science in action: A literature review on process mining in business management

P Zerbino, A Stefanini, D Aloini - Technological Forecasting and Social …, 2021 - Elsevier
Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …

Predicting process behaviour using deep learning

J Evermann, JR Rehse, P Fettke - Decision Support Systems, 2017 - Elsevier
Predicting business process behaviour is an important aspect of business process
management. Motivated by research in natural language processing, this paper describes …

[图书][B] Fundamentals of business process management

M Dumas, LM Rosa, J Mendling, AH Reijers - 2018 - Springer
Business processes represent one of the core assets of organisations for many reasons.
They have direct impact on the attractiveness of products and services, influence customer …

Event log preprocessing for process mining: a review

HM Marin-Castro, E Tello-Leal - Applied Sciences, 2021 - mdpi.com
Process Mining allows organizations to obtain actual business process models from event
logs (discovery), to compare the event log or the resulting process model in the discovery …

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

A Augusto, R Conforti, M Dumas, M La Rosa… - … and Information Systems, 2019 - Springer
The problem of automated discovery of process models from event logs has been
intensively researched in the past two decades. Despite a rich field of proposals, state-of-the …

Quantifying chatbots' ability to learn business processes

C Kecht, A Egger, W Kratsch, M Röglinger - Information Systems, 2023 - Elsevier
Chatbots enable organizations in the business-to-customer domain to respond to repetitive
requests efficiently. Extant approaches in Natural Language Processing (NLP) already …

Filtering out infrequent behavior from business process event logs

R Conforti, M La Rosa… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In the era of “big data”, one of the key challenges is to analyze large amounts of data
collected in meaningful and scalable ways. The field of process mining is concerned with the …

Recommendations for enhancing the usability and understandability of process mining in healthcare

N Martin, J De Weerdt, C Fernández-Llatas… - Artificial Intelligence in …, 2020 - Elsevier
Healthcare organizations are confronted with challenges including the contention between
tightening budgets and increased care needs. In the light of these challenges, they are …

Discovering block-structured process models from incomplete event logs

SJJ Leemans, D Fahland… - Application and Theory of …, 2014 - Springer
One of the main challenges in process mining is to discover a process model describing
observed behaviour in the best possible manner. Since event logs only contain example …
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