Main data mining puposes are prediction, clustering, and association.
- Most commonly used algorithms for predictive modeling methods are decision trees, neural networks, and statistical models.
- Clustering models focus on identifying groups of similar records. Records in the same cluster have similar attributes, while the distance between groups are high and the similarity is low.
- Association rules are useful to create easily interpretable rules to reach particular conclusions (such as the purchase of a particular product).