Normal view MARC view ISBD view

Dark data : why what you don’t know matters / David J. Hand.

By: Hand, David J., author.
Call number: QA276 H3178 2020eb Material type: Computer fileComputer filePublisher: Princeton,New Jersey : Princeton University Press, 2020Edition: 1st editon.Description: 1 online resource (344 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9780691182377 ; 9780691198859Subject(s): Missing observations (Statistics) | Big dataDDC classification: 519.5 Online resources: Click here to access online
Contents:
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.
Abstract: In 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 composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we don’t see. Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them. In doing so, he teaches us not only to be alert to the problems presented by the things we don’t know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions. Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

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.

In 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 composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we don’t see. Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them. In doing so, he teaches us not only to be alert to the problems presented by the things we don’t know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions. Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.

There are no comments for this item.

Log in to your account to post a comment.
    สถิติผู้เข้าชมเว็บไซต์ : Free Hit Counter