Book Contents
Ch. 10
Building Knowledge-Driven DSS and Mining Data
Next Page
Contents
Introduction
Key Terms and Concepts
Other Important Terms
Characteristics of Knowledge-Driven DSS
Managing Knowledge-Driven DSS Projects
Using Rules for Knowledge-Driven DSS
Advantages and Limitations of Rules
Knowledge-Driven DSS Examples
Data Mining and Creating Knowledge
Data Mining Techniques and Tools
Case-Based Reasoning, Data Visualization, Fuzzy Query and Analysis
Genetic Algorithms, Neural Networks
Data Mining Process
Data Mining Examples
Evaluating Development Packages
Conclusions and Commentary
Questions and Exercises
Case Study - For Underwriting, NC Blue Turns to an Expert
References
Web Links
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