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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 done Uncovers future challenges and research trends of the fusion of these important and trending topics

Produktbeschreibung
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 done
Uncovers future challenges and research trends of the fusion of these important and trending topics

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
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.