Come work with me on AI-augmented Process Management Systems.
We are #hiring: 2 Asst-Professors on next-generation #ProcessMining techniques at @TUEindhoven on https://pa.win.tue.nl/vacancy-thinking-assistants/ and https://pa.win.tue.nl/vacancy-multi-variate-process-analytics/
+ 23 more Assistant/Associate/Full-Professors in #DataScience, #AI, #ComputerScience and #Mathematics. Details and application: https://jobs.tue.nl/en/vacancy/assistant-associate-and-full-professors-mathematics-and-computer-science-982722.html?utm_source=LinkedIn&utm_medium=post&utm_campaign=broad+hire&utm_id=M%26CS
#mathematics #computerscience #ai #datascience #ProcessMining #hiring
I’ve launched a #processmining education experiment: an online course on Multi-Dimensional Process Analysis.
Videos, texts, tutorials on object-centric process mining, performance analysis & more
2 parts are released, more will be released in the coming days and weeks.
http://multiprocessmining.org/2022/12/20/online-course-on-multi-dimensional-process-analysis/
Our Advanced #ProcessMining course at @TUEindhoven now splits into 4 specialization tracks on Real-Time Event Streams, Unstructured Processes, Responsible Process Mining, and Object-Centric PM & Event Knowledge Graphs.
4 weeks of education at the cutting edge of process mining!
RT @sbarbonjr@twitter.com
... keeping the discussion on #AutoML for #ProcessMining, we proposed the use of #MetaLearning for trace clustering. This work will be presented by @gmtavares_@twitter.com at #BRACIS2022, everyone is invited! Check here: https://bit.ly/AutoML_PM_BRACIS
@paoloceravolo@twitter.com @edamiani064@twitter.com @MaleLabTs@twitter.com
🐦🔗: https://twitter.com/sbarbonjr/status/1593645623701643265
#AutoML #ProcessMining #metalearning #bracis2022
How do we enable faster data exchange from source systems to #ProcessMining tools?
The use case needs:
- fast #event #data export from a variety of flawed data storage models
- semantic conversion into data models suitable for #process analysis
- while supporting a variety of conceptual (data) models
In this blog post https://multiprocessmining.org/2022/10/26/data-storage-vs-data-semantics-for-object-centric-event-data/ I explain the issue and suggest a possible way out: to separate data storage for exchange from #data #semantics (by defining a semantic header).
#semantics #process #data #event #ProcessMining
How do we enable faster data exchange from source systems to #processmining tools?
The use case needs:
- fast #eventdata export from a variety of flawed data storage models
- semantic conversion into data models suitable for analysis
- while supporting a variety of conceptual (data) models
In this blog post https://multiprocessmining.org/2022/10/26/data-storage-vs-data-semantics-for-object-centric-event-data/ I explain the issue and suggest a possible way out: to separate data storage for exchange from #data #semantics (by defining a semantic header).
#semantics #data #eventdata #ProcessMining
How do we enable faster data exchange from source systems to #processmining tools?
The use case needs:
- fast #eventdata export from a variety of flawed data storage models
- semantic conversion into data models suitable for analysis
- while supporting a variety of conceptual (data) models
In this blog post https://multiprocessmining.org/2022/10/26/data-storage-vs-data-semantics-for-object-centric-event-data/ I explain the issue and suggest a possible way out: to separate data storage for exchange from data semantics (by defining a semantic header).
How do we enable faster data exchange from source systems to #processmining tools?
The use case needs:
- fast #eventdata export from a variety of flawed data storage models
- semantic conversion into data models suitable for analysis
- while supporting a variety of conceptual (data) models
In this blog post https://multiprocessmining.org/2022/10/26/data-storage-vs-data-semantics-for-object-centric-event-data/ I explain the issue and suggest a possible way out: to separate data storage for exchange from data semantics (by defining a semantic header).
#Introduction I’m Associate-Professor at Eindhoven University of Technology (TU/e), researching in #processmining and #BPM for 12 years. I’ve
My current research aims develops foundations for analyzing processes involving multiple objects (#ObjectCentricProcessMining ) and entire systems and organizations using event data in #KnowledgeGraphs.
I’m the program manager of the Master #DataScience and #AI at TU/e.
#ai #datascience #KnowledgeGraphs #ObjectCentricProcessMining #bpm #ProcessMining #introduction
Referenced link: https://www.youtube.com/watch?v=zl3DGMNBn9c
Originally posted by ScaDS.AI / @Sca_DS@twitter.com: https://twitter.com/Sca_DS/status/1578701740739891200#m
In our 15th Living Lab Lecture, @Sca_DS researcher Philippe Krajsic introduced the audience to #AI in #ProcessMining. In case you missed the lecture, you can now watch it on YouTube!