Data Mining Technology Based on Data Warehouse

Author: Kang Xiaodong
Publisher:
Publish Date: 2004-01-01
Features: University-level teaching material for computer science and technology under the 15th Five-Year Plan. The driving force behind the emergence, development, and continuous improvement of new technologies comes from the needs of real life. When people are puzzled by whether the network is a gold mine for storing information or a swamp for burying information, data mining technology based on data warehouses undoubtedly brings new hope. This book starts by comparing databases, database management systems, and data warehouses, and then introduces the principles of data warehouses, data warehouse design, online analytical processing (OLAP), data mining algorithms, statistical data mining, and knowledge-based data mining. It also covers other data mining technologies and tools, as well as the application and management of data warehouses, supplemented by numerous inspiring solutions. From an application perspective, the book analyzes the construction process of data warehouses and the selection of OLAP and data mining technologies. In addition to serving as a textbook for senior undergraduate or graduate students in related fields at universities, this book can also be referenced by engineering technicians in various enterprises and institutions engaged in information system development.