Visual Data Mining
Techniques and Tools for Data Visualization and Mining
By Tom Soukup, Ian Davidson
Publisher: Wiley
Final Release Date: October 2002
Pages: 416

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 tosolve common business problems from an entirely new perspective.Traditional data mining techniques generate huge amounts of numericdata that can be difficult to interpret and use. Visual data miningmakes it easier for nontechnical business managers to understandtheir markets and make savvy business decisions, in addition toopening the world of visual tools to a much broader audience.

This book describes how various types of business problems can besolved using visual mining techniques. After introducing thebusiness issues and fundamentals, it then presents a step-by-stepmethodology for implementing visual mining techniques into your ownbusiness intelligence project.

This methodology will explain how to:
Justify and plan your project
Identify your top business questions and map them into datavisualization or data mining questions
Identify and select data to address these questions
Transform raw data into a visualization or data mining businessdata set and verify for accuracy
Choose the appropriate visualization or visual data miningtool
Analyze and evaluate the visualizations or data mining models todiscover 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 datamining
* The major example data sets used throughout the book

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Ebook: $65.00
Formats:  PDF