Exploratory Data Mining and Data Cleaning / Edition 1

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More About This Textbook

Overview

A groundbreaking addition to the existing literature, Exploratory Data Mining and Data Cleaning serves as an important reference for data analysts who need to analyze large amounts of unfamiliar data, operations managers, and students in undergraduate or graduate-level courses, dealing with data analysis and data mining.
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Editorial Reviews

From the Publisher
"Statisticians not conversant with today's statistical take on DQ should read this book…and be stimulated to do important research in DQ." (Journal of the American Statistical Association, March 2006)

"…uniquely integrates several approaches for data cleaning and exploration…" (Journal of Statistical Computation & Simulation, April 2004)

"...provides a uniquely integrated approach...for serious data analysts everywhere..." (Zentralblatt Math, Vol. 1027, 2004)

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Product Details

  • ISBN-13: 9780471268512
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 5/29/2003
  • Series: Wiley Series in Probability and Statistics Series , #442
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 224
  • Product dimensions: 6.38 (w) x 9.65 (h) x 0.84 (d)

Meet the Author

TAMRAPARNI DASU, PhD, and THEODORE JOHNSON, PhD, are both members of the technical staff at AT&T Labs-Research in Florham Park, New Jersey.
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Table of Contents

Preface
1 Exploratory Data Mining and Data Cleaning: An Overview 1
2 Exploratory Data Mining 17
3 Partitions and Piecewise Models 69
4 Data Quality 99
5 Data Quality: Techniques and Algorithms 139
Bibliography 189
Index 197
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