Synopses & Reviews
Artificial intelligence (AI) has been in existence almost as long as computers. However, only recently have AI techniques been widely incorporated by companies to enhance
traditional business applications.
Building Intelligent .NET Applications is an introduction to the world of Artificial Intelligence (AI) for .NET programmers. It is the first book to show professional .NET developers how to incorporate AI into their daily programming. In this accessible guide, developers will learn how to enhance both new and existing .NET applications with intelligent agents, data mining, rule-based systems, and speech processing.
The author explores four of the most popular AI technologies by building real-world sample applications that readers can use as the basis for their own applications.
Highlights include
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Applications that talkcritical for companies seeking to automate their call centers
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Speech-enabled mobile applications
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Multimodal speech applications
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Data-mining predictions, which uncover trends and patterns in large quantities of data
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Rule-based programming for applications that can be more reactive to their environments
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Multiple software agents that are able to keep remote users up to date
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Sample applications for Windows and the Web
With Building Intelligent .NET Applications, developers will learn the basic technologies of AI needed to create practical, time-saving enterprise applications.
© Copyright Pearson Education. All rights reserved.
Synopsis
Building Intelligent .NET Applications is an introduction to the world of Artificial Intelligence (AI) for .NET programmers. It is the first book to show professional .NET developers how to incorporate AI into their daily programming. In this accessible guide, developers will learn how to enhance both new and existing .NET applications with intelligent agents, data mining, rule-based systems, and speech processing.
About the Author
About the Author Sara Rea is a senior developer for Public Systems Associates, a Baton Rougebased company that produces legislative software. She is an MCSD and MCDBA and is certified in SQL Server 2000 and VB.NET. She specializes in developing Web-based applications utilizing Microsoft technologies. Since graduating from Louisiana State University in 1993 with a degree in quantitative business analysis, she has been developing software for a variety of industries, including a not-for-profit hospital, a financial company offering mortgages, a retail company selling coffee, and an Application Service Provider.
In 1998 she wrote an article on stress-testing Web sites that was featured on the front cover of MSDN Magazine, formerly named Microsoft Interactive Developer (MIND). Since then she has written articles featured in Enterprise Development and .NET Development. To reference the articles Sara Rea has written, refer to http://www.custsolutions.net. This Web site also features her latest research efforts and is a good resource for readers who want to learn more about enhanced computing.
© Copyright Pearson Education. All rights reserved.
Table of Contents
Foreword.
Acknowledgments.
About the Author.
Preface.
1. Introduction.
2. Creating Applications That Talk.
3. Telephony Applications.
4. Multimodal Speech Applications.
5. Data-Mining Predictions.
6. Applying Data-Mining Predictions.
7. An Evolving Database.
8. Building an Agent.
9. The Future of Enhanced Computing.
Glossary.
Bibliography.
Index.