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E-book
Visual Data Mining: Techniques and Tools for Data Visualization and MiningISBN: 978-0-471-27138-3
E-book
416 pages
October 2002
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Introduction.
Acknowledgments.
Trademarks.
PART 1: INTRODUCTION AND PROJECT PLANNING PHASE.
Introduction to Data Visualization and Visual Data Mining.
Step 1: Justifying and Planning the Data Visualization and Data Mining Project.
Step 2: Identifying the Top Business Questions.
PART 2: DATA PREPARATION PHASE.
Step 3: Choosing the Business Data Set.
Step 4: Transforming the Business Data Set.
Step 5: Verify the Business Data Set.
PART 4: DATA ANALYSIS PHASE AND SUMMARY.
Step 6: Choosing the Visualization or Visual Mining Tool.
Step 7: Analyzing the Visualization or Mining Tool.
Step 8: Verifying and Presenting the Visualizations or Mining Models.
The Future of Visual Data Mining.
Glossary.
References.
Index.
Acknowledgments.
Trademarks.
PART 1: INTRODUCTION AND PROJECT PLANNING PHASE.
Introduction to Data Visualization and Visual Data Mining.
Step 1: Justifying and Planning the Data Visualization and Data Mining Project.
Step 2: Identifying the Top Business Questions.
PART 2: DATA PREPARATION PHASE.
Step 3: Choosing the Business Data Set.
Step 4: Transforming the Business Data Set.
Step 5: Verify the Business Data Set.
PART 4: DATA ANALYSIS PHASE AND SUMMARY.
Step 6: Choosing the Visualization or Visual Mining Tool.
Step 7: Analyzing the Visualization or Mining Tool.
Step 8: Verifying and Presenting the Visualizations or Mining Models.
The Future of Visual Data Mining.
Glossary.
References.
Index.



