Big Data Mining and Complexity Contributor(s): Castellani, Brian C. (Author), Rajaram, Rajeev (Author) |
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ISBN: 1526423812 ISBN-13: 9781526423818 Publisher: Sage Publications Ltd OUR PRICE: $40.85 Product Type: Paperback - Other Formats Published: May 2022 |
Additional Information |
BISAC Categories: - Social Science | Statistics - Social Science | Research |
Series: The Sage Quantitative Research Kit |
Physical Information: 0.49" H x 6.69" W x 9.61" (0.83 lbs) 232 pages |
Descriptions, Reviews, Etc. |
Publisher Description: This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide:
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Contributor Bio(s): Castellani, Brian C.: - "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"Rajaram, Rajeev: - Rajeev is an Associate Professor of Mathematics at Kent State University. Rajeev's primary training is in control theory of partial differential equations and he is currently interested in applications of differential equations and ideas from statistical mechanics and thermodynamics to model and measure complexity. He and Castellani have worked together to create a new case--- based method for modeling complex systems, called the SACS Toolkit, which has been used to study topics in health, health care, societal infrastructures, power---grid reliability, restaurant mobility, and depression trajectories. See www.kent.edu/math/profile/rajeev---rajaram |