Data Warehouse and Data Mining Principles and Applications

Author: Wang Lizhen et al.
Publisher:
Publish Date: 2005-07-01
Features: This book comprehensively and thoroughly introduces the basic concepts, fundamental principles, and application technologies of data warehousing, online analytical processing (OLAP), and data mining. The book is divided into three parts. The first part, "Data Warehouse and OLAP Concepts, Principles, and Technologies," mainly includes the basic concepts, architecture, model design, creation, and maintenance of data warehouses, as well as ETL, metadata, data marts, and the basic concepts, classifications, and model design of OLAP. The second part, "Data Mining Technology," introduces the fundamental theories, basic processes, and algorithms of common data mining models. The third part, "Tools and Examples," provides a brief overview of the basic features of data warehouse product tools, offers some analysis on product selection and evaluation, and presents a detailed introduction and analysis of the mobile communication business data warehouse system. This book can serve as a practical textbook for students majoring in computer science, information systems, and related fields to learn data warehousing, OLAP, and data mining technologies. It is also suitable for researchers, engineers, and professionals engaged in data warehouse, data mining research, design, and development.