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  1. proslijedio/la je Tweet
    4. velj

    We recently hit over 100.000 downloads (), to celebrate this, we released PM4Py 1.2.10. Happy Process Mining! Release Notes:

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  2. proslijedio/la je Tweet

    Is it possible to perform on devices such as smart fridges? The new library provides you with discovery and conformance on microcontrollers! Read the latest PADS blogpost by :

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  3. proslijedio/la je Tweet
    28. sij

    I implemented a PySpark framework on top of pm4py that can run the inductive miner (or simply a dfg) on Spark. I've just successfully extracted a Petri net from an internal dataset consisting of 52 billion events. I'm planning to open-source it later.

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  4. proslijedio/la je Tweet
    24. sij

    We just released PM4Py 1.2.9 ()! Release notes and source code can be found here: Happy Process Mining!

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  5. proslijedio/la je Tweet
    13. sij

    We just released PM4Py 1.2.8 ()! Release notes and source code can be found here: Happy Process Mining!

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  6. proslijedio/la je Tweet
    10. sij

    The R package 'pm4py' providing an R interface to was just updated to the latest version 1.2.7: Mix and match open-source Process Mining code from Python and R as you see fit thanks to :-)

    Prikaži ovu nit
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  7. 10. sij
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  8. proslijedio/la je Tweet
    20. pro 2019.

    We just released PM4Py 1.2.7 ()! Merry Christmas and Happy Process Mining :-)

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  9. proslijedio/la je Tweet
    2. pro 2019.

    Check out our new website! More exciting updates following in Q1 2020 (PM4Py goes front-end!).

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  10. proslijedio/la je Tweet
    24. stu 2019.

    Could Process Mining Be Bigger Than Robotic Process Automation? Of course! Processes continue to depend on people and organizations and can only be partly automated. Hence, the first priority should be to understand them!

    , , i još njih 7
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  11. proslijedio/la je Tweet
    21. stu 2019.

    New features out! Added support for OR constructs in process trees for log generation, transition-bordered translation of process trees to Petri nets, and support for alternative ILP solvers!

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  12. 30. ruj 2019.

    PM4Py 1.2.0 released with a new process tree generator, support for live event streams (along with an interface for algorithms on streams) and an approach of task mining!

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  13. proslijedio/la je Tweet
    30. ruj 2019.

    and expand to Japan! The Intelligent Business Cloud and training materials are now fully localized and available in Japanese. Stay tuned to learn more about our Japan launch!

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  14. 5. ruj 2019.

    Congrats to for winning two best paper awards

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  15. 4. ruj 2019.

    Come to our demo on the ProM filtering toolkit! Filter the log and enhance the Quality of discoverer models

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  16. 4. ruj 2019.

    3 demo papers at partly powered by PM4Py.. Enjoy demo session at 16:00

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  17. 2. ruj 2019.

    Chiao-Yun Li of the PADS-Fraunhofer FIT process mining team, presenting her work 'A generic approach for process performance analysis using bipartite graph matching'

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  18. proslijedio/la je Tweet
    31. kol 2019.

    How to see the real process behavior underneath the process model? Use ProM's "Interactive Performance Spectrum" and give Daniel feedback. Read to get started.

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  19. 12. kol 2019.

    Learn how PM4Py Web Services really integrates into any application stack, and can be deployed into single/multi-instance scalable configurations on Kubernetes/Minikube/Swarm

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  20. proslijedio/la je Tweet

    Alessandro Berti () will present his work "Process Mining on Event Graphs: a Framework to Extensively Support Projects" at the Doctoral Consortium in the International Conference of Business Process Management (BPM2019)

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