Mining Project-Oriented Business Processes. Bala, S., Cabanillas, C., Mendling, J., Rogge-Solti, A., & Polleres, A. In 13th International Conference on Business Process Management (BPM 2015), volume 9253, of Lecture Notes in Computer Science, pages 425–440, Innsbruck, Austria, August, 2015. Springer. Paper abstract bibtex Large engineering processes need to be monitored in detail regarding when what was done in order to prove compliance with rules and regulations. A typical problem of these processes is the lack of control that a central process engine provides, such that it is difficult to track the actual course of work even if data is stored in version control systems (VCS). In this paper, we address this problem by defining a mining technique that helps to generate models that visualize the work history as GANTT charts. To this end, we formally define the notion of a project-oriented business process and a corresponding mining algorithm. Our evaluation based on a prototypical implementation demonstrates the benefits in comparison to existing process mining approaches for this specific class of processes.
@inproceedings{bala-etal-2015BPM,
author = {Saimir Bala and
Cristina Cabanillas and
Jan Mendling and
Andreas Rogge{-}Solti and
Axel Polleres},
title = {Mining Project-Oriented Business Processes},
booktitle = {13th International Conference on Business Process Management ({BPM} 2015)},
month = aug,
pages = {425--440},
series = {Lecture Notes in Computer Science},
volume = {9253},
publisher = {Springer},
year = {2015},
abstract = {Large engineering processes need to be monitored in detail regarding when what was done in order to prove compliance with rules and regulations. A typical problem of these processes is the lack of control that a central process engine provides, such that it is difficult to track the actual course of work even if data is stored in version control systems (VCS). In this paper, we address this problem by defining a mining technique that helps to generate models that visualize the work history as GANTT charts. To this end, we formally define the notion of a project-oriented business process and a corresponding mining algorithm. Our evaluation based on a prototypical implementation demonstrates the benefits in comparison to existing process mining approaches for this specific class of processes.},
day = 31,
address = {Innsbruck, Austria},
url = {http://polleres.net/publications/bala-etal-2015BPM.pdf},
}
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A typical problem of these processes is the lack of control that a central process engine provides, such that it is difficult to track the actual course of work even if data is stored in version control systems (VCS). In this paper, we address this problem by defining a mining technique that helps to generate models that visualize the work history as GANTT charts. To this end, we formally define the notion of a project-oriented business process and a corresponding mining algorithm. 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