ISBN-10:
0538726970
ISBN-13:
9780538726979
Pub. Date:
11/12/2002
Publisher:
Cengage Learning
The Artificial Intelligence Handbook: Business Applications / Edition 1

The Artificial Intelligence Handbook: Business Applications / Edition 1

by Joel G. Siegel, Jae K. Shim

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Overview

The Artificial Intelligence Handbook: Business Applications / Edition 1

The purpose of this book is to help business professionals understand artificial intelligence software and how to make practical use of it. The authors provide a complete overview of expert systems and neural networks. Applications in a variety of discipline are included such as: banking, insurance, investments, accounting, law, marketing, and manufacturing.

Product Details

ISBN-13: 9780538726979
Publisher: Cengage Learning
Publication date: 11/12/2002
Edition description: New Edition
Pages: 256
Product dimensions: 6.00(w) x 9.10(h) x 0.60(d)

About the Author

Joel G. Siegel, Ph.D., CPA is a self-employed certified public accountant and professor of accounting and finance at Queens College of the City University of New York. He was employed previously by Coopers and Lybrand CPAs, and Arthur Andersen CPAs. Siegel has been a consultant in accounting and finance to many organizations including Citicorp, ITT, United Technologies, and the American Institute of CPAs. Dr. Siegel has written 65 books and more than 200 articles on accounting and financial topics.

Dr. Jae K. Shim is Professor of Finance and Accounting at California State University, Long Beach, and President of Delta Consulting Company, a financial consulting and training firm. Shim received is M.B.A. and Ph.D. from the University of California at Berkeley. He has been a consultant to commercial and nonprofit organizations for over 30 years. Dr. Shim has published numerous articles and over 50 college and professional books to his credit. Jae resides in Los Alamitos, CA.

Table of Contents

What This Book Will Do For You. 1. Introduction. 2. Artificial Intelligence and Expert Systems. 3. Neural Networks. 4. Artificial Intelligence in Business Finance. 5. Artificial Intelligence in Accounting. 6. Legal Applications. 7. Artificial Intelligence in Marketing. 8. Expert Systems and Neural Networks in Manufacturing. Appendix I. Artificial Intelligence Software. Glossary. Index.

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