Big Data and Information Theory

Big Data and Information Theory

Ahmed, Syed Ejaz; Xu, Jiuping; Li, Zongmin

Taylor & Francis Ltd

06/2022

116

Dura

Inglês

9781032266312

15 a 20 dias

544

Descrição não disponível.
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
CLSC Problem;Meta-heuristic Algorithms;Under-fitted Model;Multi Classifier System;CMMI Model;Fuzzy TOPSIS;Data Warehouse;Fuzzy MCDM;Bart;HrQoL Questionnaire;Tall Building Projects;Fuzzy TOPSIS Method;Online Rumors;Triangular Fuzzy Number;Data Warehouse Implementation;Rasch Model;MCP;MCDM Problem;People CMM;Data Sets;Bi Strategy;Posterior Distribution;CMM;Stein Type Shrinkage Estimators;Scad