Tóm tắt nội dung

Data Mining: Concepts and Techniques, Third Edition provides a comprehensive introduction to the concepts, methods, and applications of data mining and knowledge discovery from data. The book begins with fundamental concepts and techniques for understanding and processing data, followed by data warehousing, online analytical processing (OLAP), and data cube technology. It then examines frequent pattern mining, association and correlation analysis, advanced pattern mining, classification, cluster analysis, and outlier detection. The final chapter discusses current trends, applications, and research frontiers in data mining. The book presents numerous algorithms and implementation examples in pseudocode and addresses applications involving relational, spatial, multimedia, temporal, text, and Web data. It is designed as a reference and learning resource for computer science students, application developers, business professionals, and researchers working with large-scale data analysis and knowledge discovery.