Big Data Mining and Complexity - Castellani, Brian C.;Rajaram, Rajeev
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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…mehr

Produktbeschreibung
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 of all data mining techniques Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Autorenporträt
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.