Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications / Edition 1

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This second installment in the Making Sense of Data series continues to explore a diverse range commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to engineering, finance, and the social sciences.
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Editorial Reviews

From the Publisher
?Experts, researchers, practitioners, or readers who need a quick reference or who want to get up to speed quickly on data analysis will love having a copy of this work. Summing Up: Highly recommended.? (CHOICE, October 2009)
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Product Details

  • ISBN-13: 9780470222805
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 2/3/2009
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 308
  • Sales rank: 1,135,432
  • Product dimensions: 6.10 (w) x 9.20 (h) x 0.60 (d)

Meet the Author

Glenn J. Myatt, PhD, is cofounder of Leadscope, Inc. and a Partner of Myatt & Johnson, Inc., a consulting company that focuses on business intelligence application development delivered through the Internet. Dr. Myatt is the author of Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining, also published by Wiley. WAYNE P. JOHNSON, MSc., is cofounder of Leadscope, Inc. and a Partner of Myatt & Johnson, Inc. Mr. Johnson has over two decades of experience in the design and development of large software systems, and his current professional interests include human–computer interaction, information visualization, and methodologies for contextual inquiry.
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Table of Contents

1 Introduction 1

2 Data visualization 19

3 Clustering 67

4 Predictive analytics 111

5 Applications 165

App. A Matrices 215

App. B Software 219

Bibliography 273

Index 279

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