Data Science and Social Research Epistemology, Methods, Technology and Applications / edited by N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino.
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) da...
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Bibliographic Details
| Corporate Author: |
SpringerLink (Online service) |
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| Other Authors: |
Lauro, N. Carlo
(Editor),
Amaturo, Enrica
(Editor),
Grassia, Maria Gabriella
(Editor),
Aragona, Biagio
(Editor),
Marino, Marina
(Editor) |
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| Format: | eBook
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| Language: | English |
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| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 1st ed. 2017. |
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| Series: | Studies in Classification, Data Analysis, and Knowledge Organization,
Springer eBook Collection.
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| Subjects: | |
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| Online Access: | Click to view e-book
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| Holy Cross Note: | Loaded electronically.
Electronic access restricted to members of the Holy Cross Community. |
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