Big data mining and complexity
Castellani, Brian C.
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
[https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc]
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.
(https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc)
9781526423818
Data mining
Big data
006.312 / CAS
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
[https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc]
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.
(https://methods.sagepub.com/book/mono/big-data-mining-and-complexity/toc)
9781526423818
Data mining
Big data
006.312 / CAS