Big Data Science for Criminology and the Social Sciences : From Case Studies to Theory Hardback
by Marcello (Department of Computing and Mathematics, University of Derby, UK) Trovati, Fionn (Goldsmiths University of London, United Kingdom) Murtagh, Richard Hill, Philip Hodgson, Philip Burton-Cartledge, Michael Teague, Charlotte Hargreaves
Hardback
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Description
There is an increasing prevalence of large and complex datasets within the social sciences, and notably criminology in recent years.
This data explosion has led to the development of specialized techniques for extracting information from such data.
This book presents an introduction to "Big Data Science" for criminology and the social sciences, taking a case study-based approach to explaining the concepts.
The theory is introduced as needed to answer scientific questions based on real data problems in the application areas.
Some R and Python code is included to give support with implementation of the methods.
Information
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Coming Soon
- Format:Hardback
- Pages:250 pages, 50 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:30/04/2025
- Category:
- ISBN:9781498788656
Information
-
Coming Soon
- Format:Hardback
- Pages:250 pages, 50 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:30/04/2025
- Category:
- ISBN:9781498788656