Big Data Mining and Complexity
This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. A critical review of data mining and 'big data' from a complexity science perspective, including its future potential and limitations A practical exploration of the challenges of putting together and managing a 'big data' database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations…
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Produktdetails
Weitere Autoren: Rajaram, Rajeev
- ISBN: 978-1-5297-1100-4
- EAN: 9781529711004
- Produktnummer: 34813045
- Verlag: SAGE Publications
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 180 S.
- Plattform: EPUB
- Auflage: 1. Auflage
Über den Autor
In addition to being a Professor of Sociology at Durham University, I am currently Adjunct Professor of Psychiatry (Northeast Ohio Medical University), Fellow of the Wolfson Research Institute for Health and Wellbeing, and Co-Editor of the Routledge Complexity in Social Science series. I am also a member of the editorial board for International Journal of Social Research Methodology and Complexity, Governance and Networks. Trained as a sociologist, clinical psychologist and methodologist (statistics and computational social science), I have spent the past ten years developing a new case-based, data-mining approach to modeling complex social systems - called the SACS Toolkit - which my colleagues and I have used to help researchers, policy makers and service providers address and improve complex public health issues such as community health and well-being; infrastructure and grid reliability; mental health and inequality; big data and data mining; and globalization and global civil society. We have also recently developed the COMPLEX-IT R-studio software app, which allows everyday users seamless access to such high-powered techniques as machine intelligence, neural nets, and agent-based modeling to make better sense of the complex world(s) in which they live and work. See: http://www.art-sciencefactory.com/briancastellani.html
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