<p><P>The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for
Visual Data Mining: Techniques and Tools for Data Visualization and Mining
β Scribed by Tom Soukup, Ian Davidson
- Publisher
- Wiley
- Year
- 2002
- Tongue
- English
- Leaves
- 389
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems. * Explains how to select the appropriate data sets for analysis, transform the data sets into usable formats, and verify that the sets are error-free * Reviews how to choose the right model for the specific type of analysis project, how to analyze the model, and present the results for decision making * Shows how to solve numerous business problems by applying various tools and techniques * Companion Web site offers links to data visualization and visual data mining tools, and real-world success stories using visual data mining
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