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The phantom pattern problem : the mirage of big data /

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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 imp...

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Bibliographic Details
Main Authors: Smith, Gary, 1945- (Author), Cordes, Jay (Author)
Format: eBook
Language:English
Published: Oxford ; New York, NY : Oxford University Press, 2020.
Subjects:
Data mining.
Big data.
Quantitative research.
Data Mining
Exploration de données (Informatique)
Données volumineuses.
Recherche quantitative.
COMPUTERS.
SCIENCE.
Big data
Data mining
Quantitative research
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
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.
Physical Description:1 online resource (vii, 227 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9780192609687
0192609688
9780192609694
0192609696
9780191896514
0191896519