Data Mining: The Textbook provides a comprehensive introduction to data mining, covering fundamental techniques, advanced methods, diverse data types, and important applications. The book begins with data preparation, similarity measures, association pattern mining, cluster analysis, outlier analysis, and data classification. It then explores advanced data mining problems involving data streams, text, time series, discrete sequences, spatial data, graph data, and Web data, followed by social network analysis and privacy-preserving data mining. The author combines mathematical foundations with intuitive explanations, illustrations, examples, and exercises to help readers understand the relationships between different mining problems and data types. The book is suitable for introductory and advanced data mining courses as well as students, researchers, and practitioners in data science and knowledge discovery.

Ngôn ngữ:	eng
Tác giả:	Aggarwal, Charu C.
Thông tin nhan đề:	Data Mining: The Textbook
Nhà xuất bản:	Springer
Loại hình:	Giáo trình sách, tham khảo / Bộ sưu tập: Công nghệ thông tin
Mô tả vật lý:	734tr.
Năm xuất bản:	2015