Castellani B. Big Data Mining and Complexity 2022

Textbook in PDF format

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.
List of Figures.
About the Authors.
Introduction.
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 Modelling.
Complex Network Analysis.
Textual and Visual Data Mining.
Conclusion: Advancing a Complex Digital Social Science.
Glossary.
References.
Index