Data Warehousing and Data Mining20795 marksData integration and transformation
Why data normalization is important in data mining? Explain min-max and Z-score normalization approach.
Why data normalization is important in data mining? Explain min-max and Z-score normalization approach. [5]
Data normalization is important in data mining for the following reasons: - Equal weight to all attributes: Without normalization, attributes with larger ranges (e.g., income: 10,000-100,000) can dominate attributes with smaller ranges (e.g., age: 1-100), biasing the mining results. - Avoids unit...