This book seeks to familiarize students with the fundamental concepts and techniques used in the field of data mining. The content spans a wide range of topics including data preprocessing, classification, clustering, association analysis, and anomaly detection. By combining theoretical insights with practical examples, the book aims to equip students with the skills necessary to extract meaningful patterns and knowledge from large datasets, thus preparing them for challenges in data-driven industries.
