Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Big Data Mining and Complexity

Langbeschreibung
This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide:
Inhaltsverzeichnis
Chapter 1: IntroductionPart 1: Thinking Complex and CriticallyChapter 2: The Failure of Quantitative Social ScienceChapter 3: What is Big Data?Chapter 4: What is Data MiningChapter 5: The Complexity TurnPart 2: The Tools and Techniques of Data MiningChapter 6: Case-Based Complexity: A Data Mining VocabularyChapter 7: Classification and ClusteringChapter 8: Machine LearningChapter 9: Predictive Analytics and Data ForecastingChapter 10: Longitudinal AnalysisChapter 11: Geospatial ModelingChapter 12: Complex Network AnalysisChapter 13: Textual and Visual Data MiningChapter 14: Conclusion: Advancing A Complex Digital Social Science
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.
ISBN-13:
9781529711004
Veröffentl:
2022
Seiten:
180
Autor:
Brian C. Castellani
Serie:
The SAGE Quantitative Research Kit
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch

40,99 €*

Lieferzeit: Sofort lieferbar
Alle Preise inkl. MwSt.