Dark Data : Why What You Don't Know Matters /

A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is...

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Bibliographic Details
Main Author: Hand, David J. (Author)
Format: eBook
Language:English
Published: Princeton, NJ : Princeton University Press, 2020
Subjects:
COMPUTERS / Database Management / Data Mining.
manažment databázy
ISBN:9780691198859
Online Access: Get full text
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Table of Contents:
  • Frontmatter
  • CONTENTS
  • Preface
  • CHAPTER 1: Dark Data: What We Don't See Shapes Our World
  • CHAPTER 2: Discovering Dark Data: What We Collect and What We Don't
  • CHAPTER 3: Definitions and Dark Data: What Do You Want to Know?
  • CHAPTER 4: Unintentional Dark Data: Saying One Thing, Doing Another
  • CHAPTER 5: Strategic Dark Data: Gaming, Feedback, and Information Asymmetry
  • CHAPTER 6: Intentional Dark Data: Fraud and Deception
  • CHAPTER 7: Science and Dark Data: The Nature of Discovery
  • CHAPTER 8: Dealing with Dark Data: Shining a Light
  • CHAPTER 9: Benefiting from Dark Data: Reframing the Question
  • CHAPTER 10: Classifying Dark Data: A Route through the Maze
  • Notes
  • Index

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