Data Mining Concepts and Techniques

Author: (Canada) Han Jia Wei
Publisher:
Publish Date: 2001-08-01
Features: Data mining is one of the most active branches in database research, development, and application. This book comprehensively and systematically introduces the basic concepts, methods, and techniques of data mining, as well as the latest advancements in the field, making it an excellent textbook with high readability. It is suitable as a selective course textbook for senior undergraduate students in related fields, particularly as a core course textbook for graduate students. Additionally, it can serve as a reference book for professionals engaged in data mining research and application development. The book systematically discusses the basic concepts, techniques, and latest advancements in data mining. The entire book is divided into 10 chapters, providing a comprehensive and in-depth introduction to the development of database technology and the application of data mining, data warehousing and online analytical processing (OLAP) technology, data preprocessing techniques (data cleaning, data integration and transformation, data reduction), data mining techniques (classification, prediction, association, and clustering), data mining methods in advanced database systems, as well as the applications of data mining and some challenging issues. The book emphasizes practicality, supplementing concepts and techniques with examples and providing representative algorithms. It can be used as a textbook for senior undergraduate and graduate students, as well as a reference for related technical personnel.