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Dark data = why what you don't know ...

Hand, David J.

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Dark data = why what you don't know matters /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Dark data/ David J. Hand.
其他題名:	why what you don't know matters /
作者:	Hand, David J.
出版者:	Princeton, NJ :Princeton University Press, : c2020.,
面頁冊數:	1 online resource (330 p.) :ill.
標題:	Big data. -
電子資源:	https://www.degruyter.com/isbn/9780691198859
ISBN:	9780691198859

Dark data = why what you don't know matters /
Hand, David J.

Dark datawhy what you don't know matters /[electronic resource] :David J. Hand. - 1st ed. - Princeton, NJ :Princeton University Press,c2020. - 1 online resource (330 p.) :ill.

Includes bibliographical references and index.

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 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.

ISBN: 9780691198859

Standard No.: 10.1515/9780691198859doi

LCCN: 2019022972Subjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA276 / .H3178 2020

Dewey Class. No.: 519.5

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