Big Data and Information Theory (PDF)
(Sprache: Englisch)
This book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas.
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This book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas.
Autoren-Porträt
Jiuping Xu is Associate Vice President, Dean of Business School, and Director of Institute of Emergency Management and Reconstruction in Post-disaster of Sichuan University, Chengdu, China. He has published more than 700 peer-reviewed journal papers and over 40 books.Syed Ejaz Ahmed is Dean of the Faculty of Mathematics and Science at Brock University, St Catharines, Canada. His research interests concentrate on big data, predictive modeling, data science, and statistical machine learning with applications.
Zongmin Li is Deputy Department Head of Management Science and System Science Department of Business School at Sichuan University, Chengdu, China. Her research interests focus on data-driven decision-making and big data analytics.
Bibliographische Angaben
- 2022, 1. Auflage, 128 Seiten, Englisch
- Herausgegeben: Jiuping Xu, Syed Ejaz Ahmed, Zongmin Li
- Verlag: Taylor & Francis
- ISBN-10: 1000591719
- ISBN-13: 9781000591712
- Erscheinungsdatum: 01.06.2022
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- Dateiformat: PDF
- Grösse: 10 MB
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Sprache:
Englisch
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