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
"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
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"Students learn best when they are able to visualize
relationships between data and results during the data mining
process. VisMiner is easy to learn and yet offers great
visualization capabilities throughout the data mining process. My
students liked it very much and so did I." --Dr. Douglas Dean,
Assoc. Professor of Information Systems, Marriott School, Brigham
Young University, USA
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