Dark Data: Why What You Don’t Know Matters

David J. HandPrinceton University Press • ISBN-13 978‑0691182377

Dark Data: Why What You Don’t Know Matters coverDark Data: Why What You Don’t Know Matters cover

Dark Data: Why What You Don’t Know Matters

David J. HandPrinceton University Press

ISBN-10: 069118237X · ISBN-13: 978‑0691182377 · 2020

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David J. Hand explores the pervasive influence of 'dark data'—the information that is missing, ignored, or excluded from datasets—and its profound impact on statistical analysis and decision-making. By categorizing the various ways data can be absent, the author provides a framework for identifying biases and errors that often go unnoticed in modern analytics. This work serves as an essential guide for understanding the limitations of data-driven conclusions in an increasingly complex digital landscape.

Book metadata

Publisher: Princeton University Press
2020
Pages: 344Language: English

Contributors

Author: David J. Hand

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Inferred themes

Machine-inferred from catalog text. Not verified subjects.

Inferred: Data ScienceInferred: Information TheoryInferred: StatisticsInferred: Statistical BiasInferred: Data AnalysisInferred: Decision MakingInferred: Data IntegrityInferred: Data Collection

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