A recent article provides a quick explanation of the nine most common data-mining techniques used in predictive analytics.
1. Regression analysis
2. Choice modeling
3. Rule induction
4. Network/Link Analysis
5. Clustering/Ensembles
6. Neural networks
7. Memory-based reasoning (MBR)/Case-based reasoning
8. Decision trees
9. Uplift modeling, aka net-response modeling or incremental-response modeling
http://www.marketingprofs.com/articles/2010/3567/the-nine-most-common-data-mining-techniques-used-in-predictive-analytics
Linda
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment