Data warehouse and data mining

Author: Su Xinning
Publisher:
Publish Date: 2006-04-01
Features: The emergence of data warehousing and data mining in the 1990s represents significant advancements in information serialization and information analysis technologies. The combination of the two has become a powerful tool for humans to process and analyze massive amounts of information. Based on an introduction to the basic concepts of data warehousing and data mining technologies, this book systematically and deeply analyzes data warehouse models, online analytical processing (OLAP) techniques using data warehouses as platforms, a development case of a data warehouse for the securities industry, database mining, text mining, web mining, data mining software, and the applications of data mining, especially in competitive intelligence systems and customer relationship management. It thus provides a knowledge portal for understanding and mastering data warehousing and data mining technologies.
This book is suitable for professional advancement in the fields of information analysis, competitive intelligence, information management, knowledge management, strategic management, and soft scientific research among practitioners in China's business, intelligence, consulting, and education sectors. It is also intended for teaching and reference use by faculty and students in higher education institutions.
The emergence of data warehousing and data mining in the 1990s represents significant advancements in information serialization and information analysis technologies. The combination of the two has become a powerful tool for humans to process and analyze massive amounts of information. Based on an introduction to the basic concepts of data warehousing and data mining technologies, this book systematically and deeply analyzes data warehouse models, online analytical processing (OLAP) techniques using data warehouses as platforms, a development case of a data warehouse for the securities industry, database mining, text mining, web mining, data mining software, and the applications of data mining, especially in competitive intelligence systems and customer relationship management. It thus provides a knowledge portal for understanding and mastering data warehousing and data mining technologies.
This book is suitable for professional advancement in the fields of information analysis, competitive intelligence, information management, knowledge management, strategic management, and soft scientific research among practitioners in China's business, intelligence, consulting, and education sectors. It is also intended for teaching and reference use by faculty and students in higher education institutions.