I believe Stephen Eick, Cheif Technology Officer of Visual Insights best put into words in the Advance Praise section of the book that "This book is a wonderful contribution and important resource for anyone building visual data mining systems. It combines down-to-earth, practical advice with thoughtful examples."In addition, Michael Berry of Data Miners, Inc states "As this book shows, visualization plays an important role...
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Most data mining books focus on the algorithms.This book takes a different tack. It discusses using the algorithms and visualization within a data miningproject. Alot of the book focuses on the "darkerside" of data mining: data preparation, model performance and deploying your model once it isbuilt and tested. There are two chapters onalgorithms but they mainly focus on how to visualizethe model, its performance, expected...
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I've been doing data mining for years, but have only recently begun working with a visual tool (better left unnamed), that I found frustrating to use. This book has been really helpful in giving me the lay of the land on visual mining techniques and tools, and insight into the right kind of tool for the work I do. Thanks for helping me get on the right track!
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The examples are terrific, including those in color---and the business-oriented examples and cases are practical and detailed. The author also does a good job of covering tough areas, like verifying accuracy of visualizations, and selecting the correct data sets for analysis.
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This is a nice book on the key steps of a data miningproject and the role visualization can play, thoughit would be useful even if your project doesn't use visualization.The book is aimed squarely at the practioner and discusses in depth each of eight steps in a typical data mining projectsuch as data transformation/sampling, building models and deploying models.This book tells you how to *use* data mining and visualizationtools...
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