Data Mining: Technologies, Techniques, Tools, and Trends - Hardcover

"Reading Data Mining by Bhavani Thuraisingham is a poignant experiencemasterful and readable summary of her fielda profound overview of an important domain of human knowledgea memorable opus." -Dr. Dobb's Journal "a comprehensive overview of data mining on almost all aspectsthis book is a good introductory material, especially helpful to business managers and project leaders who want to profit from the goldmine of data mining" -Zhi-Hua Zhou, Journal of Computing and Information Technology, CIT 9, 2001 "Focusing on a data-centric perspective, this book provides a comprehensive overview of data mining on almost all aspects, including its basic concepts, current technologies, popular techniques, commercial products, and future challenges." -Bojan Zdrnja, Journal of Computing and Information Technology, CIT 9, 2001

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.

Three parts divide Data Mining:

Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining

Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information

Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues.

This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence.

Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.