Lecture 3 - Process mining Flashcards
1
Q
What is a process?
A
Sequence of steps to accomplish some goal.
2
Q
What is process mining? (4)
A
- Extracting knowledge from event logs; data about the events in the process.
- Building a process model inductively; look at different cases and therefrom learn what is the process structure.
- Comparing mined process model with process description
- Visualizing mined models for analysis
3
Q
Process mining vs Data mining
A
- Data mining is the computing process of discovering PATTERNS in large data sets.
- Process mining aims at discovering the PROCESS, works with event and relationships between events, no numerical variables.
- Commonalities:
- inductive algorithms
- overfitting
- visualization
4
Q
Three main types of process mining (vd Aalst):
A
- Discovery: discover the actual process in the business
- Conformance: compare process model with a standard model (process description or standard)
- Enhancement: try to improve the process model
5
Q
Quality criteria of a discovered model (4):
A
- Fitness
- Precision
- Generalization
- Simplicity