- Case ID
- Activity Name
- Time Stamp
Play out: A possible scenario
Play in: simple process allowing for 4 traces
Replay
Process mining:
- Discovery
- Conformance
- Enhancement
Machine learning:
- Supervised learning: response variable that labels each instance (we labeled each data and the machine will learn from that)
- Classification: classify to predict (i.e. decision tree)
- Regression: final function that fits data
- Unsupervised learning: unlabeled. (i.e. clustering like K-means, pattern discovery)
Example: smoker, drinker, weight: supervised learning
Smoker, drinker: predictor variable
Weight: response variable