Event log sources
Comments
-
Hi,
I think that in this collection you will find several interesting real life event logs:
http://data.3tu.nl/repository/collection:event_logs_real
Joos Buijs
Senior Data Scientist and process mining expert at APG (Dutch pension fund executor).
Previously Assistant Professor in Process Mining at Eindhoven University of Technology -
Thanks JBuijs,
I've already surfed all these sources...but how about the examples available through chapter 11 and 12 of the book entitled :"process mining: discovery, conformance and enhancement of business processes"
Are they available somewhere else? -
As far as I know these event logs are not public.
Joos Buijs
Senior Data Scientist and process mining expert at APG (Dutch pension fund executor).
Previously Assistant Professor in Process Mining at Eindhoven University of Technology -
Hello
Can anyone help me find a source for exampl event logs L1, L2, L3 in the paper "On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery" from Buijs
-
Hi Janan,
I believe the data is available here:
http://data.4tu.nl/repository/uuid:bd8fcc48-5bf3-480e-8775-d79d6c700e90
Please reference the data as a regular publication in your references if you use it in a paper
Joos Buijs
Senior Data Scientist and process mining expert at APG (Dutch pension fund executor).
Previously Assistant Professor in Process Mining at Eindhoven University of Technology -
Hi dear Buijs thank you to relay. I have referenced some of part my thesis. thank you.
-
but I have a problem in calculate generalization. I am going use your formula to measure calculation but there is some thing difference. my process model is term of petri net with transition and place but your model is term of process tree. how can I use your formula for petri net? I have sent attach file.
Thank you
-
Hi Janan,
I think that my metric is easy to apply on Petri nets: just use transitions as your nodes (e.g. ignore the places) and count how often they are executed.
You know how often they are executed after you have calculated alignments.
Joos Buijs
Senior Data Scientist and process mining expert at APG (Dutch pension fund executor).
Previously Assistant Professor in Process Mining at Eindhoven University of Technology -
Hi dear buijs
Thank you. I have sent a example of generalization. my supervisor is so interesting to see your idea about this example. would you please take a short look and give me your suggestion? Thank you
-
Hi Janan,
I did a quick check and your results seem alright.
However, please note that you can't/shouldn't just use the event log, but the alignments and then count only the synchronous moves. This is different than counting the number of times the activity occurred in the event log. E.g. trace <a,c,h,g,d,f,a> would have no occurrence count for either h or g depending on the alignment!
Joos Buijs
Senior Data Scientist and process mining expert at APG (Dutch pension fund executor).
Previously Assistant Professor in Process Mining at Eindhoven University of Technology -
I am so thanks full. I am finishing my thesis. after finish I will send it to you. I have referenced your event log L0 ,generalization metric and your result ETM miner from prom.
-
the latest my comparison approaches is ETM miner to Fitness, Persian, Generalization and simplicity. But ETM seems give me different results on different models. which of them can I use in my thesis to show best result of these four metric on Petri net?
-
Hi dear Buijs
in your paper you calculated generalization on alpha ++ algorithm and give 0.889. but I have used alignment between model and log but my value is 0.880. would you please to take short look in my alignment?
Thank you
-
Hi Janan,
It could be that either you or me made a rounding error. I would consider the difference minimal and it won't really impact your findings I believe.
Joos Buijs
Senior Data Scientist and process mining expert at APG (Dutch pension fund executor).
Previously Assistant Professor in Process Mining at Eindhoven University of Technology
Howdy, Stranger!
Categories
- 1.6K All Categories
- 45 Announcements / News
- 225 Process Mining
- 6 - BPI Challenge 2020
- 9 - BPI Challenge 2019
- 24 - BPI Challenge 2018
- 27 - BPI Challenge 2017
- 8 - BPI Challenge 2016
- 68 Research
- 1K ProM 6
- 393 - Usage
- 287 - Development
- 9 RapidProM
- 1 - Usage
- 7 - Development
- 54 ProM5
- 19 - Usage
- 187 Event Logs
- 32 - ProMimport
- 75 - XESame