Visual Data Mining: The VisMiner Approach

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About The Product

A visual approach to data mining. 

Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. 

This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling the reader to see the data that they are working on and to visually evaluate the models created from the data. 

Key features:

• Presents visual support for all phases of data mining including dataset preparation.
• Provides a comprehensive set of non-trivial datasets and problems with accompanying software.
• Features 3-D visualizations of multi-dimensional datasets.
• Gives support for spatial data analysis with GIS like features.
• Describes data mining algorithms with guidance on when and how to use.
• Accompanied by VisMiner, a visual software tool for data mining, developed specifically to bridge the gap between theory and practice.

Visual Data Mining: The VisMiner Approach is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. This book provides a set of tutorials, exercises, and case studies that support students in learning data mining processes.

In praise of the VisMiner approach: 

"What we discovered among students was that the visualization concepts and tools brought the analysis alive in a way that was broadly understood and could be used to make sound decisions with greater certainty about the outcomes"-Dr. James V. Hansen, J. Owen Cherrington Professor, Marriott School, Brigham Young University, USA