Concepts and techniques of data mining, based on statistical methodology. Study and application of diverse data preprocessing techniques. Application of data visualization techniques in two and three dimensions, linear and non-linear supervised classifiers, clustering methods, and outlier detection. Application of association rules and text mining techniques.
- Teacher: Roberto Rivera-Santiago