midData Mining
What is data discretization in data mining?
Updated May 15, 2026
Short answer
It converts continuous data into discrete intervals.
Deep explanation
Discretization simplifies continuous variables into bins or categories, improving interpretability and performance for certain algorithms like decision trees or rule-based systems.
Real-world example
Grouping ages into categories like youth, adult, senior.
Common mistakes
- Choosing arbitrary bin sizes without analysis.
Follow-up questions
- What is equal-width binning?
- What is equal-frequency binning?