- Docente: Roland Bouffanais
This course provides a comprehensive introduction to the fundamental concepts, techniques, and applications of data mining. Students will explore key data mining principles, including data preprocessing, classification, clustering, association rule mining, and anomaly detection. The course covers both theoretical foundations and practical applications, equipping students with the skills to analyze large datasets and extract meaningful patterns.