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.
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Vasant Dhar is a Principal at Morgan Stanley and Professor of Information Systems, Stern School of Business, New York University.
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.
"About this title" may belong to another edition of this title.
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