SAGE Publications, 2022. — 232 p. — (The SAGE Quantitative Research Kit). — ISBN: 1526423812.
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.
The Failure of Quantitative Social Science.
What Is Big Data?
What Is Data Mining?
The Complexity Turn.
Case-Based Complexity: A Data Mining Vocabulary.
Classification and Clustering.
Machine Learning.
Predictive Analytics and Data Forecasting.
Longitudinal Analysis.
Geospatial Modeling.
Complex Network Analysis.
Textual and Visual Data Mining.
Conclusion: Advancing a Complex Digital Social Science.
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