Full Description
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.
Contents
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
-
- 電子書籍
- 異世界に行ったら分裂してしまった【タテ…
-
- 電子書籍
- 深い青が広がっている 分冊版21
-
- 電子書籍
- 松白愛 浴衣&競泳水着 グラビア学園
-
- 電子書籍
- キスは三度まで【分冊】 1巻 ハーレク…
-
- 電子書籍
- 薔薇の聖痕『フレイヤ連載』 43話 F…



