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Paulina Gackowiec, Marta Podobinska-Staniec, Edyta Brzychczy, Christopher Kühlbach and Toyga Özver
The sustainable development of an organisation requires a holistic approach to the evaluation of an enterprise?s goals and activities. The essential means enabling an organisation to achieve goals are business processes. Properly managed, business proces...
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Gemma Di Federico and Andrea Burattin
Process mining analyzes events that are logged during the execution of a process, with the aim of gathering useful information and knowledge. Process discovery algorithms derive process models that represent these processes. The level of abstraction at w...
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Juergen Mangler, Joscha Grüger, Lukas Malburg, Matthias Ehrendorfer, Yannis Bertrand, Janik-Vasily Benzin, Stefanie Rinderle-Ma, Estefania Serral Asensio and Ralph Bergmann
The Internet of Things (IoT) has been shown to be very valuable for Business Process Management (BPM), for example, to better track and control process executions. While IoT actuators can automatically trigger actions, IoT sensors can monitor the changes...
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Fawad Ali Mangi, Guoxin Su and Minjie Zhang
The study of business process analysis and optimisation has attracted significant scholarly interest in the recent past, due to its integral role in boosting organisational performance. A specific area of focus within this broader research field is proce...
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Ronny Seiger, Marco Franceschetti and Barbara Weber
The increasing number of IoT devices equipped with sensors and actuators pervading every domain of everyday life allows for improved automated monitoring and analysis of processes executed in IoT-enabled environments. While sophisticated analysis methods...
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Liubov O. Elkhovskaya, Alexander D. Kshenin, Marina A. Balakhontceva, Mikhail V. Ionov and Sergey V. Kovalchuk
Within process mining, discovery techniques make it possible to construct business process models automatically from event logs. However, results often do not achieve a balance between model complexity and fitting accuracy, establishing a need for manual...
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Zeeshan Tariq, Darryl Charles, Sally McClean, Ian McChesney and Paul Taylor
A significant challenge for organisations is the timely identification of the abnormalities or deviations in their process executions. Abnormalities are generally due to missing vital aspects of a process or possession of unwanted behaviour in the proces...
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Ghada El-khawaga, Mervat Abu-Elkheir and Manfred Reichert
Predictive Process Monitoring (PPM) has been integrated into process mining use cases as a value-adding task. PPM provides useful predictions on the future of the running business processes with respect to different perspectives, such as the upcoming act...
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Qifan Chen, Yang Lu, Charmaine S. Tam and Simon K. Poon
Process mining aims to gain knowledge of business processes via the discovery of process models from event logs generated by information systems. The insights revealed from process mining heavily rely on the quality of the event logs. Activities extracte...
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Juan Pablo Salazar-Fernandez, Jorge Munoz-Gama, Jorge Maldonado-Mahauad, Diego Bustamante and Marcos Sepúlveda
In this work, Process Mining techniques are used with a curricular analytics approach, to model the educational trajectories of engineering students during their first courses.
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Cristina-Claudia Osman
Pág. 91 - 97
Daily activities of companies generate and consume massive amounts of data. Different diagrammatic visualizations can be extracted from this data by using different Process Mining algorithms. ProM Framework provides several discovery Process Mining algor...
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Sebastiaan J. van Zelst and Sander J. J. Leemans
Since their introduction, process trees have been frequently used as a process modeling formalism in many process mining algorithms. A process tree is a (mathematical) tree-based model of a process, in which internal vertices represent behavioral control...
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Zeeshan Tariq, Naveed Khan, Darryl Charles, Sally McClean, Ian McChesney and Paul Taylor
Real-world business processes are dynamic, with event logs that are generally unstructured and contain heterogeneous business classes. Process mining techniques derive useful knowledge from such logs but translating them into simplified and logical segme...
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Ghada Elkhawaga, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad and Manfred Reichert
Business processes evolve over time to adapt to changing business environments. This requires continuous monitoring of business processes to gain insights into whether they conform to the intended design or deviate from it. The situation when a business ...
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Kwanghoon Pio Kim
In this paper, we propose an integrated approach for seamlessly and effectively providing the mining and the analyzing functionalities to redesigning work for very large-scale and massively parallel process models that are discovered from their enactment...
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Yutika Amelia Effendi,Nania Nuzulita
Pág. 183 - 194
Background: Nowadays, enterprise computing manages business processes which has grown up rapidly. This situation triggers the production of a massive event log. One type of event log is double timestamp event log. The double timestamp has a start time an...
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Christian Sturm, Myriel Fichtner and Stefan Schönig
Declarative process management has emerged as an alternative solution for describing flexible workflows. In turn, the modelling opportunities with languages such as Declare are less intuitive and hard to implement. The area of process discovery covers th...
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Tugba Gurgen Erdogan and Ayca Tarhan
As a business processes management technique, process mining (PM) has been applied in many domains in the last decade. In healthcare, where most processes are complex, variable, dynamic, and multi-disciplinary in nature, application of this technique is ...
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Berno Theo Greyling,Wyhan Jooste
Pág. 120 - 132
Business process planning and control is important for effectively managing and improving processes relating to the management of physical assets. This is especially true when processes affect the uptime and value creation by physical assets. This articl...
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Berny Carrera,Jinsung Lee,Jae-Yoon Jung
Online social network services (SNS) such as Twitter and Facebook are currently representative means of disseminating information on the Web. It therefore is crucial to internet marketing to understand the dynamics of information diffusion in the online ...
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