Critical analysis of Big Data challenges and analytical methods
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In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.About:
This article is published in Journal of Business Research.The article was published on 2017-01-01 and is currently open access. It has received 1267 citations till now. The article focuses on the topics: Analytics & Big data.read more
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Applying Big Data Analytics in Higher Education: A Systematic Mapping Study
TL;DR: A systematic mapping study provides a better understanding of the level of contribution to research as well as identifies gaps for future research direction and contributes to the ongoing research on applying big data analytics in HES.
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Impact of Industry 4.0 drivers on the performance of the service sector: comparative study of cargo logistic firms in developed and developing regions
TL;DR: In this article, the authors investigated the impact of Industry 4.0 on the performance of the cargo logistic business (service sector) in Bangladesh and Canada, including big data, smart f...
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Responsible Data Governance of Neuroscience Big Data
TL;DR: The concept of “responsible data governance,” applying the principles of Responsible Research and Innovation to the challenges presented by the governance of neuroscience big data in the Human Brain Project (HBP), is developed.
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An Improved Multi-Modal based Machine Learning Approach for the Prognosis of Alzheimer’s disease
TL;DR: The proposed ML pipeline constitutes a classifier system along with data transformation and feature selection techniques that have been embedded inside an experimental and data analysis design that showed the highest output in the classification accuracy.
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How digitalization affects insurance companies: overview and use cases of digital technologies
TL;DR: In this article, the authors provide a comprehensive overview of digital technologies and their use cases for the insurance industry, and point out the resulting requirements for an insurer's IT and find many interdependencies between the digital technologies.
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