Big Data Mining and Complexity: The SAGE Quantitative Research Kit
Autor Brian C. Castellani, Rajeev Rajaramen Limba Engleză Paperback – 7 mar 2022
- 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
Preț: 344.26 lei
Puncte Express: 516
Carte tipărită la comandă
Livrare economică 12-26 octombrie
Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 400.00 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
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
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
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
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.