Fusing Big Data, Blockchain and Cryptocurrency
Features the most up to date review of the corresponding developments and implementations of big data, blockchain and cryptocurrency Systematically investigates the fusion of Big Data, Blockchain and Cryptocurrency, which is the first time a study like this has been doneUncovers future challenges and research trends of the fusion of these important and trending topics
| Autor: | Hassani, Hossein Huang, Xu Silva, Emmanuel Sirimal |
|---|---|
| ISBN: | 9783030313906 |
| Sprache: | Englisch |
| Seitenzahl: | 120 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 19.12.2019 |
| Untertitel: | Their Individual and Combined Importance in the Digital Economy |
| Schlagworte: | Big Data Blockchain Blockchain Technology Crypto Cryptocurrency FinTech Financial Technology Smart Technology digital economy |
Hossein Hassani is a researcher in Singular Spectrum Analysis (SSA) and its applications. His research interests include Big Data and Data Mining techniques, Blockchain, Time Series Analysis and Forecasting, Signal Processing and Applied Statistics. He has written over 130 academic articles and 6 books. Xu Huang is a Senior Lecturer in Economics in the Faculty of Business and Law at De Montfort University (DMU), UK. Her research interests include Big Data, FinTech, Blockchain, Time Series Analysis, Multivariate Analysis and Applied Econometrics. Emmanuel Sirimal Silva is the Head of Research Coordination: Fashion Business School and Principal Lecturer in Quantitative Methods at the London College of Fashion (LCF), University of the Arts London, UK. Emmanuel is also a Fellow of the Higher Education Academy in the UK with research interests in Time Series Analysis and Forecasting, Big Data, Blockchain and Applied Statistics, and haspublished over 45 academic journal articles.