juniorData Mining
What is data normalization in data mining?
Updated May 15, 2026
Short answer
Normalization scales data into a standard range.
Deep explanation
It ensures features contribute equally by scaling them typically between 0 and 1 or standardizing to mean 0 and variance 1.
Real-world example
Scaling income and age features in prediction models.
Common mistakes
- Skipping normalization for distance-based algorithms.
Follow-up questions
- MinMax vs StandardScaler?
- When not needed?