publication . Other literature type . Conference object . 2017

Big Data And The Social Sciences: Can Accuracy And Privacy Co-Exist?

Waldo, Jim;
Open Access
  • Published: 04 May 2017
  • Publisher: Zenodo
Abstract
Big Data Science, which combines large data sets with techniques from statistics and machine learning, is beginning to reach the social sciences. The promise of this approach to investigation are considerable, allowing researchers to establish correlations between variables over huge numbers of participants using data that has been gathered in a non-invasive fashion and in natural settings. Unlike large-data projects in the physical sciences, however, use of these data sets in the social sciences require that the subjects generating the data be treated in a fair an ethical fashion. This is often taken as requiring either compliance with the common rule, or that ...
Subjects
free text keywords: big data, privacy, k-anonymity
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Zenodo
Other literature type . 2017
Provider: Datacite
Zenodo
Other literature type . 2017
Provider: Datacite
ZENODO
Conference object . 2017
Provider: ZENODO
Zenodo
Other literature type . 2017
Provider: Datacite
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publication . Other literature type . Conference object . 2017

Big Data And The Social Sciences: Can Accuracy And Privacy Co-Exist?

Waldo, Jim;