Introduction To Data Mining

This comprehensive textbook provides a clear and accessible introduction to core data mining concepts and algorithms. Key topics include data preprocessing, predictive modeling, association analysis, cluster analysis, anomaly detection, and strategies to avoid false discoveries. The second edition includes updated coverage of big data techniques, new approaches to anomaly detection, enhanced classification methods (including deep learning), and a final chapter on statistical foundations tailored to data mining applications. The text is tailored for students, researchers, and professionals looking to apply data mining to real-world problems.