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Big Data Mining and Complexity: The SAGE Quantitative Research Kit

Autor Brian C. Castellani, Rajeev Rajaram
en Limba Engleză Paperback – 7 mar 2022
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.
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Specificații

ISBN-13: 9781526423818
ISBN-10: 1526423812
Pagini: 232
Dimensiuni: 170 x 244 x 13 mm
Greutate: 0.38 kg
Ediția:1
Editura: SAGE Publications Ltd
Colecția The SAGE Quantitative Research Kit
Seria The SAGE Quantitative Research Kit

Locul publicării:London, United Kingdom

Cuprins

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

Notă biografică

Brian C. Castellani is a professor of sociology at Durham University, UK.

Rajeev Rajaram is an associate professor at the Department of Mathematical Sciences at Kent State University, USA

Descriere

This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide everything needed to explore, evaluate and review big data concepts and techniques.