Seven Methods for Transforming Corporate Data into Business Intelligence - Brossura

Dhar, Vasant; Stein, Roger

Brossura

ISBN 10: 0132820064 ISBN 13: 9780132820066

Casa editrice: Pearson P T R, 1997

Riassunto

Details knowledge-intensive decision support methods, data warehousing, and data mining, for both business decision makers and technologists. Coverage includes all major AI techniques and machine learning algorithms, as well as OLAP and data warehousing. Explains how to select the most appropriate tool for each business problem, and presents seven detailed case studies involving companies such as NYNEX, Inc., and U S West. Includes a list of software vendors. Annotation c. by Book News, Inc., Portland, Or.

Su questo libro

L'autore:

Vasant Dhar is a Principal at Morgan Stanley and Professor of Information Systems, Stern School of Business, New York University.

Dalla quarta di copertina:

Advanced techniques for transforming data into decisions. Today's knowledge-intensive decision support tools can make organizations dramatically more intelligent, by utilizing the information organizations already possess, taking advantage of today's increasingly widespread data mining and warehousing systems, and leveraging mature and powerful artificial intelligence technologies. This is the first book to cover these new approaches in depth, for both the business decision maker and the technologist. Authors Vasant Dhar and Roger Stein are leading practitioners of AI in the financial services industry. They present detailed, up-to-date coverage of all major AI techniques, including genetic algorithms, neural networks, rule-based systems, fuzzy logic, case-based systems and machine learning algorithms. They discuss advanced OLAP and data warehousing systems, and show how to select the most appropriate tool for each business challenge. The book includes detailed checklists of key organizational and technical issues to consider, several practical case studies, and a common methodology and analysis techniques.

Su questa edizione

• Editore: Pearson P T R
• Data di pubblicazione: 1997
• ISBN 10: 0132820064
• ISBN 13: 9780132820066
• Rilegatura: Copertina flessibile
• Numero di pagine: 269