Big data mining and complexity
- New Delhi Sage Publications India Pvt Ltd 2021
- xiv, 212 p.
- The Sage Quantitative Research Kit .
Table of contents: Chapters Chapter 1: Introduction Part I: Thinking Critically and Complex Chapter 2: The Failure of Quantitative Social Science Chapter 3: What Is Big Data? Chapter 4: What Is Data Mining? Chapter 5: The Complexity Turn Part II: The Tools and Techniques of Data Mining Chapter 6: Case-Based Complexity: A Data Mining Vocabulary Chapter 7: Classification and Clustering Chapter 8: Machine Learning Chapter 9: Predictive Analytics and Data Forecasting Chapter 10: Longitudinal Analysis Chapter 11: Geospatial Modelling Chapter 12: Complex Network Analysis Chapter 13: Textual and Visual Data Mining Chapter 14: Conclusion: Advancing a Complex Digital Social Science
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.