Data Warehouse and Data Mining

Author: An Shuzhi|
Publisher:
Publish Date: 2005-06-01
Features: This book is guided by the principle of "cultivating practical application skills on the basis of mastering basic knowledge and theories," and strives to embody the following characteristics in its writing:
· Using as simple and easy-to-understand language as possible to present knowledge content in a progressive manner;
· Combining concepts with specific methods and tools to make knowledge concrete and engaging;
· Incorporating as many practical examples as possible to integrate theory with practice, achieving the goal of learning by doing.
This book is an introduction to data warehousing and data mining. It aims to provide an in-depth yet accessible explanation of the basic concepts and theories of data warehousing and data mining through simple language and examples. It offers a detailed introduction to data warehousing from aspects such as its definition, structure, design, data access methods, and applications. It also covers the fundamental knowledge and algorithms of data mining, including its definition, data preprocessing methods, types of knowledge discovery, and commonly used algorithms. The book specifically introduces the application of SQL Server 2000 data mining tools and SPSS data mining tools. Finally, it presents an application example of data mining.
The overall guiding principle of this book is to emphasize the cultivation of practical application skills while mastering basic knowledge and theories. It can serve as a textbook for computer science and technology, software engineering, or other related information disciplines in ordinary universities and colleges. It can also be used as a training manual for data warehousing and data mining, as well as a self-study guide for anyone interested in learning about data warehousing and data mining.