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Building Intelligent .NET Applications(c) Agents, Data Mining, Rule-Based Systems, and Speech Processing
Building Intelligent .NET Applications(c) Agents, Data Mining, Rule-Based Systems, and Speech Processing
ISBN: N/A
EAN: N/A
Year: 2005
Pages: 123
BUY ON AMAZON
Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing
Table of Contents
Copyright
Praise for Building Intelligent .NET Applications
Foreword
Preface
Who Is This Book For?
What You Should Know
A Note about Security
Why I Wrote This Book
Sample Applications
Why Just Microsoft Technologies?
Acknowledgments
About the Author
Chapter 1. Introduction
The AI Effect
Enhanced Computing
Seamless Computing
Why Should You Consider Enhanced Computing?
Why Use Visual Studio .NET?
How This Book is Organized
What You Need
Chapter 2. Creating Applications That Talk
The Microsoft Speech Application SDK (SASDK)
Business Benefits of Speech
How the Speech Engine Works
Installing the SASDK
Creating a Speech Application
Debugging and Tuning a Speech Application
Setting Up a Telephony Server
Summary
Chapter 3. Telephony Applications
Creating a Speech Application to Solve a Business Problem
Loading the Sales Scheduling Database
Building a Telephony Application
Tuning User Prompts
Summary
Chapter 4. Multimodal Speech Applications
Why Create Multimodal Applications?
Sunrise Community College
Building a Multimodal Application
The Manifest File
Running the Application on PocketPC
Application Tuning
Summary
Chapter 5. Data-Mining Predictions
Introducing Data Mining with SQL Server
Savings Mart
Working with Mining Models
Summary
Chapter 6. Applying Data-Mining Predictions
Working with the Sample Application
Generating New Shipment Schedules
Measuring the Success of the New Shipment Method
Closed Loop Processing
Summary
Chapter 7. An Evolving Database
Understanding Rule-based Systems
Zoom Lending
Building a Rule-based Application
Summary
Chapter 8. Building an Agent
Understanding Agents
Building a Multiple Agent Solution
Summary
Chapter 9. The Future of Enhanced Computing
The Next Development Platform
Microsoft Research (MSR)
What About AI?
Other Areas of AI
Opportunities for Developers
Glossary
A
B
C
D
E
F
G
H
I
J
L
M
N
O
P
R
S
T
W
X
Y
Bibliography
Index
index_SYMBOL
index_A
index_B
index_C
index_D
index_E
index_F
index_G
index_H
index_I
index_J
index_K
index_L
index_M
index_N
index_O
index_P
index_Q
index_R
index_S
index_T
index_U
index_V
index_W
index_X
index_Y
index_Z
Building Intelligent .NET Applications(c) Agents, Data Mining, Rule-Based Systems, and Speech Processing
ISBN: N/A
EAN: N/A
Year: 2005
Pages: 123
BUY ON AMAZON
Crystal Reports 9 on Oracle (Database Professionals)
Optimizing: The Crystal Reports Side
Optimizing: Reducing Parses
Data Dictionary Report
Appendix A Common Issues
Appendix B Functions
Mapping Hacks: Tips & Tools for Electronic Cartography
Hacks 35-46
Hack 46. Map Global Weather Conditions
Hack 49. Get Your Tracklogs in Windows or Linux
Hack 64. Mapping Local Areas of Interest with Quantum GIS
Hack 77. Become a GRASS Ninja
PMP Practice Questions Exam Cram 2
Exam Prep Questions
Exam Prep Questions
Project PlanningFacilitating Processes
Exam Prep Questions
Answers and Explanations
Web Systems Design and Online Consumer Behavior
Chapter V Consumer Complaint Behavior in the Online Environment
Chapter VIII Personalization Systems and Their Deployment as Web Site Interface Design Decisions
Chapter XII Web Design and E-Commerce
Chapter XIII Shopping Agent Web Sites: A Comparative Shopping Environment
Chapter XVII Internet Markets and E-Loyalty
Lean Six Sigma for Service : How to Use Lean Speed and Six Sigma Quality to Improve Services and Transactions
The ROI of Lean Six Sigma for Services
Getting Faster to Get Better Why You Need Both Lean and Six Sigma
Success Story #1 Lockheed Martin Creating a New Legacy
Phase 1 Readiness Assessment
Service Process Challenges
FileMaker 8 Functions and Scripts Desk Reference
Evaluate()
Get(AccountName)
Get(DesktopPath)
Get(TextRulerVisible)
Lower()
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