Visual Data Mining: Techniques and Tools for Data Visualization and Mining
by Tom Soukup and Ian Davidson  
ISBN: 0471149993
John Wiley & Sons 2002 (382 pages)
Master the power of visual data mining tools and techniques.


Introduction:
Master the power of visual data mining tools and techniques By harnessing the power of visual data mining tools and techniques, business analysts can quickly and easily retrieve information to solve common business problems from an entirely new perspective. Traditional data mining techniques generate huge amounts of numeric data that can be difficult to interpret and use. Visual data mining makes it easier for nontechnical business managers to understand their markets and make savvy business decisions, in addition to opening the world of visual tools to a much broader audience. This book describes how various types of business problems can be solved using visual mining techniques. After introducing the business issues and fundamentals, it then presents a step-by-step methodology for implementing visual mining techniques into your own business intelligence project. This methodology will explain how to: Justify and plan your project Identify your top business questions and map them into data visualization or data mining questions Identify and select data to address these questions Transform raw data into a visualization or data mining business data set and verify for accuracy Choose the appropriate visualization or visual data mining tool Analyze and evaluate the visualizations or data mining models to discover business insights, trends, and anomalies The companion Web site includes: Links to data visualization and visual data mining tools Links to real-world success stories using visual data mining The major example data sets used throughout the book.

Table of Contents:
Visual Data Mining—Techniques and Tools for Data Visualization and Mining   
Trademarks   
Introduction   
Part I - Introduction and Project Planning Phase
Chapter 1  -  Introduction to Data Visualization and Visual Data Mining
Chapter 2  - Step 1: Justifying and Planning the Data Visualization and Data Mining Project
Chapter 3  - Step 2: Identifying the Top Business Questions
Part II - Data Preparation Phase
Chapter 4  - Step 3: Choosing the Business Data Set
Chapter 5  - Step 4: Transforming the Business Data Set
Chapter 6  - Step 5: Verify the Business Data Set
Part III - Data Analysis Phase and Beyond
Chapter 7  - Step 6: Choosing the Visualization or Data Mining Tool
Chapter 8  - Step 7: Analyzing the Visualization or Mining Tool
Chapter 9  - Step 8: Verifying and Presenting the Visualizations or Mining Models
Chapter 10  - The Future of Visual Data Mining
Appendix A  - Inserts
Glossary   
References   
Index   
List of Figures   
List of Tables   
List of Codes