Data Science and Social Research: Epistemology, Methods, Technology and Applications
Cham: Springer International Publishing, Imprint: Springer, 2017
Online
Sammelwerk, Elektronische Ressource
- 1 Online-Ressource (IX, 300 p. 77 illus., 51 illus. in color)
Ermittle Ausleihstatus...
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Data Science and Social Research: Epistemology, Methods, Technology and Applications
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Verantwortlichkeitsangabe: | edited by N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino |
Autor/in / Beteiligte Person: | Lauro, N. Carlo ; Amaturo, Enrica ; Grassia, Maria Gabriella ; Aragona, Biagio ; Marino, Marina |
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Veröffentlichung: | Cham: Springer International Publishing, Imprint: Springer, 2017 |
Medientyp: | Sammelwerk |
Datenträgertyp: | Elektronische Ressource |
Umfang: | 1 Online-Ressource (IX, 300 p. 77 illus., 51 illus. in color) |
ISBN: | 9783319554778 |
DOI: | 10.1007/978-3-319-55477-8 |
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