• Case ID
• Activity Name
• Time Stamp

Play out: A possible scenario

Play in: simple process allowing for 4 traces

Replay

Process mining:

1. Discovery
2. Conformance
3. Enhancement

Machine learning:

1. Supervised learning: response variable that labels each instance (we labeled each data and the machine will learn from that)
   1. Classification: classify to predict (i.e. decision tree)
   2. Regression: final function that fits data
2. Unsupervised learning: unlabeled. (i.e. clustering like K-means, pattern discovery)

Example: smoker, drinker, weight: supervised learning

Smoker, drinker: predictor variable

Weight: response variable