Representation learning for Business Processes
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act2vec, trace2vec, log2vec and model2vec



About
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Supplementary material for BPM 2017 submission 
 "act2vec, trace2vec, log2vec, and model2vec: Representation learning for Business Processes"

References
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Implementation
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You can download the Python implementation of act2vec, trace2vec, log2vec, and model2vec [here](downloads/RepLearnForBP.zip). 
It is dependent on gensim, nltk, lxml, numpy, scipy, and scikit-learn, so you will need to install those for the code to work.
"usageExample.py" contains usage instructions.

Datasets
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You can download the event log used for the trace clustering illustration, the models and their generated random walks used for the model similarity exercise [here](downloads/dataRepLearnForBP.zip).

Contact
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Contact the authors at:

* [Pieter De Koninck](mailto:pieter.dekoninck@kuleuven.be) (corresponding author)
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium
* [Seppe vanden Broucke](mailto:seppe.vandenbroucke@kuleuven.be) 
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium
* [Jochen De Weerdt](mailto:jochen.deweerdt@kuleuven.be) 
Department of Decision Sciences and Information Management, KU Leuven
Naamsestraat 69, B-3000 Leuven, Belgium


Screenshots
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