Elderly forgotten? Digital exclusion in the information age and the rising grey digital divide

F Mubarak, R Suomi - INQUIRY: The Journal of Health Care …, 2022 - journals.sagepub.com
Background: Information and Communication Technology (ICT) is being spread at an
unprecedented rate across the globe. Yet, new research suggests that digital divide is not …

Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges

T Hu, S Wang, B She, M Zhang, X Huang… - … Journal of Digital …, 2021 - Taylor & Francis
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …

Big data and firm marketing performance: Findings from knowledge-based view

S Gupta, T Justy, S Kamboj, A Kumar… - … Forecasting and Social …, 2021 - Elsevier
A universal trend in advanced manufacturing countries is defining Industry 4.0, industrialized
internet and future factories as a recent wave, which may transform the production and its …

[PDF][PDF] Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations

V Gudivada, A Apon, J Ding - International Journal on Advances …, 2017 - personales.upv.es
Data quality issues trace back their origin to the early days of computing. A wide range of
domainspecific techniques to assess and improve the quality of data exist in the literature …

A survey on NoSQL stores

A Davoudian, L Chen, M Liu - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

When big data meets software-defined networking: SDN for big data and big data for SDN

L Cui, FR Yu, Q Yan - IEEE network, 2016 - ieeexplore.ieee.org
Both big data and software-defined networking (SDN) have attracted great interests from
both academia and industry. These two important areas have traditionally been addressed …

How ready is higher education for quality 4.0 transformation according to the LNS research framework?

B Alzahrani, H Bahaitham, M Andejany, A Elshennawy - Sustainability, 2021 - mdpi.com
The world is evolving, and it has transformed from the industrial age to the era of connected
and intelligent products in both organizations and competition. The advances in technology …

Advancing computational toxicology in the big data era by artificial intelligence: data-driven and mechanism-driven modeling for chemical toxicity

HL Ciallella, H Zhu - Chemical research in toxicology, 2019 - ACS Publications
In 2016, the Frank R. Lautenberg Chemical Safety for the 21st Century Act became the first
US legislation to advance chemical safety evaluations by utilizing novel testing approaches …

The big data system, components, tools, and technologies: a survey

TR Rao, P Mitra, R Bhatt, A Goswami - Knowledge and Information …, 2019 - Springer
The traditional databases are not capable of handling unstructured data and high volumes
of real-time datasets. Diverse datasets are unstructured lead to big data, and it is laborious …

Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis

M Andreotta, R Nugroho, MJ Hurlstone… - Behavior research …, 2019 - Springer
To qualitative researchers, social media offers a novel opportunity to harvest a massive and
diverse range of content without the need for intrusive or intensive data collection …