A mini-review of machine learning in big data analytics: Applications, challenges, and prospects

IK Nti, JA Quarcoo, J Aning… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …

Big data analytics in E-commerce: a systematic review and agenda for future research

S Akter, SF Wamba - Electronic markets, 2016 - Springer
There has been an increasing emphasis on big data analytics (BDA) in e-commerce in
recent years. However, it remains poorly-explored as a concept, which obstructs its …

Big data with cloud computing: Discussions and challenges

AK Sandhu - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
With the recent advancements in computer technologies, the amount of data available is
increasing day by day. However, excessive amounts of data create great challenges for …

Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context

R Dubey, DJ Bryde, C Blome, D Roubaud… - Industrial Marketing …, 2021 - Elsevier
The COVID-19 pandemic has disrupted global supply chains and exposed weak links in the
chains far beyond what most people have witnessed in their living memory. The scale of …

Creating strategic business value from big data analytics: A research framework

V Grover, RHL Chiang, TP Liang… - Journal of management …, 2018 - Taylor & Francis
Despite the publicity regarding big data and analytics (BDA), the success rate of these
projects and strategic value created from them are unclear. Most literature on BDA focuses …

Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies

MM Mariani, SF Wamba - Journal of Business Research, 2020 - Elsevier
The advent and development of digital technologies have brought about a proliferation of
online consumer reviews (OCRs), ie, real-time customers' evaluations of products, services …

Learning deep representations with probabilistic knowledge transfer

N Passalis, A Tefas - Proceedings of the European …, 2018 - openaccess.thecvf.com
Abstract Knowledge Transfer (KT) techniques tackle the problem of transferring the
knowledge from a large and complex neural network into a smaller and faster one. However …

An investigation of visibility and flexibility as complements to supply chain analytics: An organizational information processing theory perspective

R Srinivasan, M Swink - Production and Operations …, 2018 - journals.sagepub.com
Many businesses are seeking to develop and exploit analytics capabilities today. Using
organizational information processing theory (OIPT), we study demand visibility and supply …

A formal definition of Big Data based on its essential features

A De Mauro, M Greco, M Grimaldi - Library review, 2016 - emerald.com
A formal definition of Big Data based on its essential features | Emerald Insight Books and
journals Case studies Expert Briefings Open Access Publish with us Advanced search A formal …

Big data analytics: a survey

CW Tsai, CF Lai, HC Chao, AV Vasilakos - Journal of Big data, 2015 - Springer
The age of big data is now coming. But the traditional data analytics may not be able to
handle such large quantities of data. The question that arises now is, how to develop a high …