Description
Taylor and Francis Ltd Big Data and Information Theory 1st Edition 2022 Softbound by Xu, Jiuping
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Preface 1. Engineering management: new advances and three open questions 2. Bayes and big data: the consensus Monte Carlo algorithm 3. Measurement and analysis of quality of life related to environmental hazards: the methodology illustrated by recent epidemiological studies 4. Big data analytics: integrating penalty strategies 5. Seeking relationships in big data: a Bayesian perspective 6. Designing a data-driven leagile sustainable closed-loop supply chain network 7. Exploring capability maturity models and relevant practices as solutions addressing information technology service offshoring project issues 8. The evolution and governance of online rumors during the public health emergency: taking COVID-19 pandemic related rumors as an example 9. An empirical study of data warehouse implementation effectiveness 10. Developing a preliminary cost estimation model for tall buildings based on machine learning 11. A framework for managing uncertainty in information system project selection: an intelligent fuzzy approach_x000D_