Introduction to Data Mining is a complète introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics.

Covers core data mining topics such as

• Pre- and post-processing
• Data exploration, including visualization and OLAP
• Prédictive modeling
• Association analysis
• Clustering
• Anomaly détection

Contains extensive figures and integrated examples

Requires a minimal mathematical background

Includes exercise solutions, links to data mining resources (e.g., data mining algorithms and data sets), and lecture slides