|
| 1 | +# How to cite |
| 2 | + |
| 3 | +To cite ProcessM software, use the following citation: |
| 4 | + |
| 5 | +Tomasz P. Pawlak, Jędrzej Potoniec, ProcessM: Intelligent Process Mining software, SoftwareX, Volume 30, 102079, |
| 6 | +Elsevier, 2025, doi:[10.1016/j.softx.2025.102079](https://doi.org/10.1016/j.softx.2025.102079).<br/> |
| 7 | +BibTeX: |
| 8 | + |
| 9 | + ```bibtex |
| 10 | +@article{ProcessM2025, |
| 11 | + author = {Tomasz P. Pawlak and Jędrzej Potoniec}, |
| 12 | + title = {ProcessM: Intelligent Process Mining software}, |
| 13 | + journal = {SoftwareX}, |
| 14 | + volume = {30}, |
| 15 | + pages = {102079}, |
| 16 | + year = {2025}, |
| 17 | + issn = {2352-7110}, |
| 18 | + doi = {10.1016/j.softx.2025.102079}, |
| 19 | + url = {https://www.sciencedirect.com/science/article/pii/S2352711025000469}, |
| 20 | + keywords = {Petri net, Key performance indicator, Conformance checking, Event log}, |
| 21 | +} |
| 22 | +``` |
| 23 | + |
| 24 | +To cite specific algorithms and solutions contained in ProcessM, cite these papers accordingly: |
| 25 | + |
| 26 | +Tomasz P. Pawlak, Bartosz Górka, Continuous update of business process trees using Continuous Inductive Miner, |
| 27 | +Bulletin of the Polish Academy of Sciences Technical Sciences, Volume 71, Number 1, e143551, Polish Academy of Sciences |
| 28 | +2023, doi:[10.24425/bpasts.2022.143551](https://doi.org/10.24425/bpasts.2022.143551).<br/> |
| 29 | +BibTeX: |
| 30 | + |
| 31 | +```bibtex |
| 32 | +@article{PawlakCIM2023, |
| 33 | + author={Pawlak, Tomasz P. and Górka, Bartosz}, |
| 34 | + title={Continuous update of business process trees using Continuous Inductive Miner}, |
| 35 | + journal={Bulletin of the Polish Academy of Sciences Technical Sciences}, |
| 36 | + volume={71}, |
| 37 | + number={1}, |
| 38 | + pages={e143551}, |
| 39 | + howpublished={online}, |
| 40 | + year={2023}, |
| 41 | + type={Article}, |
| 42 | + url={http://journals.pan.pl/Content/124925/PDF/BPASTS_2023_71_1_3017.pdf}, |
| 43 | + doi={10.24425/bpasts.2022.143551}, |
| 44 | + keywords={business process, process mining, business intelligence, event log, concept drift}, |
| 45 | +} |
| 46 | +``` |
| 47 | + |
| 48 | +Jędrzej Potoniec, Daniel Sroka, Tomasz P. Pawlak, Continuous discovery of Causal nets for non-stationary business |
| 49 | +processes using the Online Miner, European Journal of Operational Research, Volume 303, Number 3, 1304-1320, Elsevier, |
| 50 | +2022, doi:[10.1016/j.ejor.2022.03.046](https://doi.org/10.1016/j.ejor.2022.03.046).<br/> |
| 51 | +BibTeX: |
| 52 | + |
| 53 | +```bibtex |
| 54 | +@article{PotoniecOM2022, |
| 55 | + author = {J\k edrzej Potoniec and Daniel Sroka and Tomasz P. Pawlak}, |
| 56 | + title = {Continuous discovery of Causal nets for non-stationary business processes using the Online Miner}, |
| 57 | + journal = {European Journal of Operational Research}, |
| 58 | + volume = {303}, |
| 59 | + number = {3}, |
| 60 | + pages = {1304-1320}, |
| 61 | + year = {2022}, |
| 62 | + issn = {0377-2217}, |
| 63 | + doi = {10.1016/j.ejor.2022.03.046}, |
| 64 | + url = {https://www.sciencedirect.com/science/article/pii/S0377221722002685}, |
| 65 | + keywords = {Analytics, Event log, Online learning, Business intelligence}, |
| 66 | +} |
| 67 | +``` |
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