Data Warehouse and Data Mining Technology: Planning Textbooks for Information Management and Information Systems Specialty

Author: Xia Huosong
Publisher:
Publish Date: 2004-03-01
Features: This book elaborates on the fundamental principles of data warehousing and data mining, systematically and comprehensively introducing the concepts, functions, algorithms, and application examples of data warehousing and data mining. It also provides several issues and frameworks involved in information analysis. The book introduces new research findings in information analysis technologies, such as wavelet analysis, Rough set analysis, ant colony analysis, fractal techniques, Agent, evolutionary algorithms for data mining, clustering analysis, mining of unstructured data, and outlier data mining, but does not describe them in detail. Instead, it focuses on their applications, serving as a stepping stone for further exploration. This book can serve as a textbook for senior undergraduate and graduate students in information management and information systems, computer applications, economic management, and related fields, as well as a reference for decision-makers in the field of economic management who wish to apply information analysis techniques.