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Phantom pattern problem : the mirage of big data

By: Smith, Gary.
Contributor(s): Cordes, Jay.
Publisher: Oxford : Oxford University Press, 2020Description: vii, 227 p. : ill., (some col.), 21 cm.ISBN: 9780198864165.Subject(s): Big data | Data Mining | Quantitative research | Computer ScienceDDC classification: 006.312 Summary: Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? 'The Phantom Pattern Problem' helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. Becoming a sceptical consumer of data is important in this age of Big Data.
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Books 006.312 SMI (Browse shelf) Available 034292

Includes bibliographical references and index.

Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? 'The Phantom Pattern Problem' helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. Becoming a sceptical consumer of data is important in this age of Big Data.

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