A Review on Data Quality Dimensions for Big Data
F Ridzuan, WMNW Zainon - Procedia Computer Science, 2024 - Elsevier
Big Data wave has led to a rapid increase in the amount of data being collected by
organizations. While the accuracy and reliability of prediction models are often prioritized …
organizations. While the accuracy and reliability of prediction models are often prioritized …
Remote sensing data quality model: from data sources to lifecycle phases
The importance of data quality assessment has significantly increased with the boom of
information technology and the growing demand for remote sensing (RS) data. The Remote …
information technology and the growing demand for remote sensing (RS) data. The Remote …
[HTML][HTML] Theoretical fragility curves− A novel approach to assess heat vulnerability of residential buildings
Extreme weather events, including heatwaves, are escalating with the changing climate.
High outdoor temperatures increase morbidity and mortality. Heat vulnerability indices …
High outdoor temperatures increase morbidity and mortality. Heat vulnerability indices …
Impact of data quality in real-time big data systems
Data Quality is one of the main challenges in any type of Big Data System. Timeliness is one
of the main factors in real-time Big Data. Limiting data quality evaluations to data sources …
of the main factors in real-time Big Data. Limiting data quality evaluations to data sources …
Innovation for Smart Factories
S Lokesh, DS Kumar, D Ashish… - … for Industry 4.0, 2020 - taylorfrancis.com
The proliferation of smart technologies has reached its peak in recent years. The Industrial
Internet of Things (IIoT) establishes a network of sensors and intelligent devices and …
Internet of Things (IIoT) establishes a network of sensors and intelligent devices and …