Data Mining
3. Knowledge Acquisition
- Select the appropriate modeling or knowledge acquisition algorithms.
- Examples: neural networks, decision trees, rules induction, genetic algorithms, classification and regression tree, memory-based reasoning, or nearest neighbor and data visualization).
4. Prognosis
- Predict future behavior and forecast business outcomes using the data mining findings.