Visual Data Mining: The VisMiner Approach

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.