1st Edition
Big Data and Information Theory
Preface
Jiuping Xu, Syed Ejaz Ahmed and Zongmin Li
1. Engineering management: new advances and three open questions
Jiuping Xu
2. Bayes and big data: the consensus Monte Carlo algorithm
Steven L. Scott, Alexander W. Blocker, Fernando V. Bonassi, Hugh A. Chipman, Edward I. George and Robert E. McCulloch
3. Measurement and analysis of quality of life related to environmental hazards: the methodology illustrated by recent epidemiological studies
Mounir Mesbah
4. Big data analytics: integrating penalty strategies
S. Ejaz Ahmed and Bahadır Yüzbaşı
5. Seeking relationships in big data: a Bayesian perspective
Nozer D. Singpurwalla
6. Designing a data-driven leagile sustainable closed-loop supply chain network
Abdollah Babaeinesami, Hamid Tohidi and Seyed Mohsen Seyedaliakbar
7. Exploring capability maturity models and relevant practices as solutions addressing information technology service offshoring project issues
Rosine Salman, Tugrul Daim, David Raffo and Marina Dabic
8. The evolution and governance of online rumors during the public health emergency: taking COVID-19 pandemic related rumors as an example
Jiali Yan
9. An empirical study of data warehouse implementation effectiveness
Nayem Rahman
10. Developing a preliminary cost estimation model for tall buildings based on machine learning
Muizz O. Sanni-Anibire, Rosli Mohamad Zin and Sunday Olusanya Olatunji
11. A framework for managing uncertainty in information system project selection: an intelligent fuzzy approach
Dipika Pramanik, Samar Chandra Mondal and Anupam Haldar
Biography
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.
