Introduction to Data Mining (2nd Edition) by Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar

This study pack contains the complete second edition of the textbook Introduction to Data Mining by Pang-Ning Tan (Michigan State University), Michael Steinbach, Anuj Karpatne, and Vipin Kumar (University of Minnesota), published by Pearson in 2019. The book teaches core data mining concepts including knowledge discovery in databases (KDD), the data mining process, predictive and descriptive modeling tasks, clustering, association analysis, anomaly detection, and advances such as deep learning for big data. It covers motivating challenges in data analysis, integration with statistics, artificial intelligence, machine learning, and pattern recognition. The single PDF material provides the full explanatory body text, figures, and chapter content suitable for graduate-level study of data mining foundations and techniques.