Big Data in Computational Social Science and Humanities
This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including an...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Chen, Shu-Heng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Computational Social Sciences,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Learn Data Analysis with Python Lessons in Coding /
ανά: Henley, A.J, κ.ά.
Έκδοση: (2018) -
Practical Data Science A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
ανά: Vermeulen, Andreas François, κ.ά.
Έκδοση: (2018) -
Measuring the Data Universe Data Integration Using Statistical Data and Metadata Exchange /
ανά: Stahl, Reinhold, κ.ά.
Έκδοση: (2018) -
Data versus Democracy How Big Data Algorithms Shape Opinions and Alter the Course of History /
ανά: Shaffer, Kris, κ.ά.
Έκδοση: (2019) -
Advances in Machine Learning and Data Science Recent Achievements and Research Directives /
Έκδοση: (2018)