Big data and its epistemology

Author:

Frické Martin1

Affiliation:

1. SIRLS; University of Arizona; 1515 E. First Street Tucson AZ 85719

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Reference67 articles.

1. Bioinformatics and discovery: Induction beckons again;Allen;Bioessays: News and Reviews in Molecular, Cellular and Developmental Biology,2001a

2. Hypothesis, induction and background knowledge. Data do not speak for themselves. Replies to Donald A. Gillies, Lawrence A. Kelley and Michael Scott;Allen;Bioessays: News and Reviews in Molecular, Cellular and Developmental Biology,2001b

3. The end of theory: The data deluge makes the scientific method obsolete;Anderson;Wired,2008

4. Pisces did not have increased heart failure: Data-driven comparisons of binary proportions between levels of a categorical variable can result in incorrect statistical significance levels;Austin;Journal of Clinical Epidemiology,2008

5. What you see may not be what you get: A brief, nontechnical introduction to overfitting in regression-type models;Babyak;Psychosomatic Medicine,2004

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