Description
Data Mining: The Textbook presents a comprehensive study of the principles, algorithms, and methodologies that underpin modern data mining. Integrating concepts from machine learning, statistics, database systems, and information retrieval, the book explains how data can be transformed into meaningful knowledge through techniques for classification, clustering, association analysis, anomaly detection, recommendation, and mining complex data types. Emphasizing both algorithmic foundations and practical applications, it provides readers with a rigorous understanding of data mining methods and their role in solving real-world analytical problems. It is an authoritative resource for students, researchers, and professionals in data mining, data science, and artificial intelligence.
