The most landmark classic in the field of data mining
Comprehensively explain the important knowledge and technological innovation in this field
This is an excellent textbook of data mining and knowledge discovery, with reasonable structure and clear organization. This book not only retains a considerable length to describe the basic concepts and methods of data mining, but also adds several chapters to introduce the latest technologies and developments in the field of data mining. Therefore, it is suitable for beginners to learn and for professionals and practitioners to refer to. This book has a broad perspective, informative and comprehensive content, and can provide sufficient reference and support for readers who are interested in in in-depth study of related technologies. In short, it is highly recommended that all senior undergraduates, professionals and practitioners read this book!
——American choice magazine
This is a very excellent data mining textbook. The latest third edition reflects the latest development and changes in the field of data mining. The book adds the latest references since the second edition in 2006, and new sections discuss visualization, pattern mining and the latest clustering methods. This book is equipped with rich and perfect teaching aids, including supporting websites, a large number of problem sets and problem answers. Although this is a textbook of data mining, it does not have high requirements for readers, only requiring readers to have a little programming experience and understand basic knowledge of database design and statistical analysis. There are also two points worth noting: first, the bibliography of this book is a very good reference list for understanding data mining research; Second, the index in the book is very comprehensive and effective, which can help readers easily locate relevant knowledge points. Researchers and analysts in other disciplines, such as epidemiologists, financial analysts, and psychometric researchers, will also find this book very useful.
—— Computing Reviews
The huge amount of data in contemporary business and science requires us to use more complex and sophisticated tools for data analysis, processing and mining. Although the great progress of data mining technology in recent years makes it easier for us to collect data widely, the development of technology is still difficult to match the explosive growth of data and the subsequent large amount of data processing needs. Therefore, we need new technologies and automated tools more urgently than ever to help us transform these data into useful information and knowledge.
The previous edition of this book was selected as the most popular data mining monograph by the readers of KDnuggets. It is a textbook with excellent readability. It comprehensively and systematically introduces the concepts, methods, technologies and technical research progress of data mining from the perspective of database, and focuses on the important and latest topics in this field in recent years – Data Warehouse and data cube technology, stream data mining, social network mining, spatial, multimedia and other complex data mining. Each chapter has separate guidance for key topics, provides the best algorithm, and gives practical rules on how to apply technology to practical work. If you want to master and apply the most powerful data mining technology today, this book is a valuable resource you need to read and learn. This book is a must read book for all teachers, researchers, developers and users in the field of data mining and knowledge discovery.
Many algorithms and implementation examples are introduced, all written in easy to understand pseudo code, which is suitable for practical large-scale data mining projects.
Some advanced topics are discussed, such as mining object-oriented relational databases, spatial databases, multimedia databases, time series databases, text databases, the world wide web and other applications.
This paper comprehensively and practically presents the concepts and technologies used to obtain as much information as possible from massive data.