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Big Data and Information Theory |
Jiuping Xu; Syed Ejaz Ahmed; Zongmin Li
Routledge
Big Data and Information Theory
An empirical study of data warehouse implementation effectiveness
Authors

Nayem Rahman

ARI Id

1665708892670_13501514

Access

Not Available Free

Pages

85-93

DOI

10.4324/9781003289173-9

Table of Contents of Book
Showing 1 to 11 of 11 entries
Chapters/HeadingsAuthor(s)PagesInfo
Engineering management: new advances and three open questions
Jiuping Xu
1-7
Bayes and big data: the consensus Monte Carlo algorithm
Steven L. Scott; Alexander W. Blocker; Fernando V. Bonassi; Hugh A. Chipman; Edward I. George; Robert E. McCulloch
8-18
Measurement and analysis of quality of life related to environmental hazards: the methodology illustrated by recent epidemiological studies
Mounir Mesbah
19-34
Big data analytics: integrating penalty strategies
S. Ejaz Ahmed; Bahadır Yüzbaşı
35-45
Seeking relationships in big data: a Bayesian perspective
Nozer D. Singpurwalla
46-51
Designing a data-driven leagile sustainable closed-loop supply chain network
Abdollah Babaeinesami; Hamid Tohidi; Seyed Mohsen Seyedaliakbar
52-64
Exploring capability maturity models and relevant practices as solutions addressing information technology service offshoring project issues *
Rosine Salman; Tugrul Daim; David Raffo; Marina Dabic
65-75
The evolution and governance of online rumors during the public health emergency: taking COVID-19 pandemic related rumors as an example
Jiali Yan
76-84
An empirical study of data warehouse implementation effectiveness
Nayem Rahman
85-93
Developing a preliminary cost estimation model for tall buildings based on machine learning
Muizz O. Sanni-Anibire; Rosli Mohamad Zin; Sunday Olusanya Olatunji
94-102
A framework for managing uncertainty in information system project selection: an intelligent fuzzy approach
Dipika Pramanik; Samar Chandra Mondal; Anupam Haldar
103-112
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 11 of 11 entries
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