Business process management: a comprehensive survey

WMP Van der Aalst - International Scholarly Research Notices, 2013 - Wiley Online Library
Business Process Management (BPM) research resulted in a plethora of methods,
techniques, and tools to support the design, enactment, management, and analysis of …

Process mining in the large: a tutorial

WMP Van der Aalst - … Intelligence: Third European Summer School, eBISS …, 2014 - Springer
Recently, process mining emerged as a new scientific discipline on the interface between
process models and event data. On the one hand, conventional Business Process …

[图书][B] Enabling flexibility in process-aware information systems: challenges, methods, technologies

M Reichert, B Weber - 2012 - Springer
Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies
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Time prediction based on process mining

WMP Van der Aalst, MH Schonenberg, M Song - Information systems, 2011 - Elsevier
Process mining allows for the automated discovery of process models from event logs.
These models provide insights and enable various types of model-based analysis. This …

Declarative workflows: Balancing between flexibility and support

WMP van Der Aalst, M Pesic… - … Science-Research and …, 2009 - Springer
Today's process-aware information systems tend to either support business processes or
provide flexibility. Classical workflow management systems offer good process support as …

Time and activity sequence prediction of business process instances

M Polato, A Sperduti, A Burattin, M Leoni - Computing, 2018 - Springer
The ability to know in advance the trend of running process instances, with respect to
different features, such as the expected completion time, would allow business managers to …

Prescriptive process monitoring: Quo vadis?

K Kubrak, F Milani, A Nolte, M Dumas - PeerJ Computer Science, 2022 - peerj.com
Prescriptive process monitoring methods seek to optimize a business process by
recommending interventions at runtime to prevent negative outcomes or address poorly …

A recommendation system for predicting risks across multiple business process instances

R Conforti, M De Leoni, M La Rosa… - Decision Support …, 2015 - Elsevier
This paper proposes a recommendation system that supports process participants in taking
risk-informed decisions, with the goal of reducing risks that may arise during process …

LSTM networks for data-aware remaining time prediction of business process instances

N Navarin, B Vincenzi, M Polato… - 2017 IEEE Symposium …, 2017 - ieeexplore.ieee.org
Predicting the completion time of business process instances would be a very helpful aid
when managing processes under service level agreement constraints. The ability to know in …

A markov prediction model for data-driven semi-structured business processes

GT Lakshmanan, D Shamsi, YN Doganata… - … and information systems, 2015 - Springer
In semi-structured case-oriented business processes, the sequence of process steps is
determined by case workers based on available document content associated with a case …