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Big Data Mining and Complexity
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Big Data Mining and Complexity

First Edition
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May 2022 | 232 pages | SAGE Publications Ltd
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.

 
Chapter 1: Introduction
 
Part 1: Thinking Complex and Critically
 
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 2: 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 Modeling
 
Chapter 12: Complex Network Analysis
 
Chapter 13: Textual and Visual Data Mining
 
Chapter 14: Conclusion: Advancing A Complex Digital Social Science

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