Big Data and Information Theory

Jiuping Xu (Sichuan University, Chengdu, China), Syed Ejaz Ahmed, Zongmin Li

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Hardback

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English

Routledge
02 June 2022

Information theory; Economics; Operational research; Probability & statistics; Environmental science, engineering & technology

"Big Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making.

The era of ""big data"" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data mining. In response to these challenges 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. This book covers a broad range of topics including statistics, data mining, data warehouse implementation, engineering management in large-scale infrastructure systems, data-driven sustainable supply chain network, information technology service offshoring project issues, online rumors governance, preliminary cost estimation, and information system project selection.

The chapters in this book were originally published in the journal, International Journal of Management Science and Engineering Management."

Edited by: Jiuping Xu (Sichuan University Chengdu China), Syed Ejaz Ahmed, Zongmin Li
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 297mm, Width: 210mm,
Weight: 400g
ISBN: 9781032266312
ISBN 10: 1032266317
Pages: 116
Publication Date: 02 June 2022
Audience: College/higher education , Primary , A / AS level
Format: Hardback
Publisher's Status: Active

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.