Decision Support System (DSS) Theory · Methods · Cases

Author: Gao Hongshen
Publisher:
Publish Date: 2005-05-01
Features: This book is the 3rd edition of "Decision Support Systems (DSS): Theory, Methods, and Cases." In addition to comprehensively elaborating on and revising the theory and methods of DSS presented in the second edition, this edition focuses on discussing the relevant theories and methods of data warehouse-based decision support systems and data mining technologies, as well as introducing newly developed and researched cases. The book is divided into 15 chapters. Chapter 1 primarily introduces the origin and development of DSS, fully elaborates on the theoretical foundations of DSS and its relationship with related disciplines, and highlights the development status and latest research trends of next-generation DSS and data warehouse-based decision support systems. Chapters 2 and 3 explain the basic concepts of DSS and the construction and system architecture of typical DSS. Chapters 4 to 7 mainly introduce databases and database management systems, data mining techniques, data warehouse technologies, as well as data modeling and metadata in data warehouses. Chapter 8 primarily introduces the model base, a crucial component of DSS, and its management system. Chapters 9 and 10 discuss knowledge discovery methods and knowledge base systems. Chapters 11 to 13 present three typical DSS cases: the credit guarantee decision support system, the securities industry data warehouse system, and the data mining application case. Chapters 14 and 15 systematically introduce typical data warehouse examples, such as the PLATINUMTechnology data warehouse and the BusinessObjects decision support system tool. This book is suitable as a textbook or teaching reference for graduate students and upper-level undergraduate students in computer applications, systems engineering, economic management, and automatic control at universities and colleges. It can also serve as a research reference for DSS researchers and developers. Additionally, it can be used by leaders, managers, and technical personnel at various levels in economic and administrative management agencies and enterprises. All rights reserved. Unauthorized reproduction is prohibited.