- 180 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Big Data Mining and Complexity
About this book
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
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Big Data Mining and Complexity by Brian C. Castellani,Rajeev Rajaram,Author in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Acknowledgements
- Contents
- Illustration List
- About the Authors
- 1 Introduction
- Part I Thinking Critically and Complex
- 2 The Failure of Quantitative Social Science
- 3 What Is Big Data?
- 4 What Is Data Mining?
- 5 The Complexity Turn
- Part II The Tools and Techniques of Data Mining
- 6 Case-Based Complexity A Data Mining Vocabulary
- 7 Classification and Clustering
- 8 Machine Learning
- 9 Predictive Analytics and Data Forecasting
- 10 Longitudinal Analysis
- 11 Geospatial Modelling
- 12 Complex Network Analysis
- 13 Textual and Visual Data Mining
- 14 Conclusion Advancing a Complex Digital Social Science
- Glossary
- References
- Index