Process mining: a guide for practitioners
In the last years, process mining has significantly matured and has increasingly been
applied by companies in industrial contexts. However, with the growing number of process …
applied by companies in industrial contexts. However, with the growing number of process …
Process mining for cloud-based applications: A systematic literature review
NM El-Gharib, D Amyot - 2019 IEEE 27th International …, 2019 - ieeexplore.ieee.org
Process mining uses event log data to discover processes, hence enabling multiple
requirements elicitation activities. As the number of applications deployed on a cloud …
requirements elicitation activities. As the number of applications deployed on a cloud …
Unlocking the promise of process mining: shaping perceptions and impact in the public sector
Purpose Worldwide challenges impose public organizations to rethink their processes and
satisfactorily meet citizens' needs. Process mining (PM) techniques enable organizations to …
satisfactorily meet citizens' needs. Process mining (PM) techniques enable organizations to …
[HTML][HTML] Relating behaviour of data-aware process models
Abstract Data Petri nets (DPNs) have gained traction as a model for data-aware processes,
thanks to their ability to balance simplicity with expressiveness, and because they can be …
thanks to their ability to balance simplicity with expressiveness, and because they can be …
A framework for estimating simplicity of automatically discovered process models based on structural and behavioral characteristics
A plethora of algorithms for automatically discovering process models from event logs has
emerged. The discovered models are used for analysis and come with a graphical flowchart …
emerged. The discovered models are used for analysis and come with a graphical flowchart …
A composite machine-learning-based framework for supporting low-level event logs to high-level business process model activities mappings enhanced by flexible …
Process mining is an emerging discipline that aims to analyze business processes using
event data logged by IT systems. In process mining, the focus is on how to effectively and …
event data logged by IT systems. In process mining, the focus is on how to effectively and …
Pre-processing network messages of trading systems into event logs for process mining
JC Carrasquel, SA Chuburov, IA Lomazova - Tools and Methods of …, 2021 - Springer
Process mining is emerging as an important discipline for the analysis, monitoring, and
improvement of business and software processes. Methods from process mining are based …
improvement of business and software processes. Methods from process mining are based …
Empirical study on the evaluation model of public satisfaction with typhoon disaster information disclosure: A case from China
Z Zhong, Y Duan - Kybernetes, 2018 - emerald.com
Purpose The purpose of this paper is to study major influencing factors on public satisfaction
with regard to information disclosure amid typhoon disasters. Internal latent variables …
with regard to information disclosure amid typhoon disasters. Internal latent variables …
Application of a genetic algorithm for finding edit distances between process models
AA Kalenkova, DA Kolesnikov - Automatic Control and Computer …, 2019 - Springer
Finding graph edit distances (determining the similarity of graph models) is an important task
in various areas of computer science, such as image analysis, machine learning, and …
in various areas of computer science, such as image analysis, machine learning, and …
Using Process Mining Technology to Understand User Behavior in SaaS Applications
NM El-Gharib - 2019 - ruor.uottawa.ca
Processes are running everywhere. Understanding and analyzing business and software
processes and their interactions is critical if we wish to improve them. There are many event …
processes and their interactions is critical if we wish to improve them. There are many event …