Data quality in internet of things: A state-of-the-art survey
A Karkouch, H Mousannif, H Al Moatassime… - Journal of Network and …, 2016 - Elsevier
Abstract In the Internet of Things (IoT), data gathered from a global-scale deployment of
smart-things, are the base for making intelligent decisions and providing services. If data are …
smart-things, are the base for making intelligent decisions and providing services. If data are …
Smart e-commerce systems: current status and research challenges
With the ongoing progress in cloud computing, big data analytics (BDA) and other
burgeoning technologies, the integration of intelligence and e-commerce systems now …
burgeoning technologies, the integration of intelligence and e-commerce systems now …
[HTML][HTML] Fifty shades of grey: Automated stochastic model identification of building heat dynamics
To reach the carbon emission reduction targets set by the European Union, the building
sector has embraced multiple strategies such as building retrofit, demand side management …
sector has embraced multiple strategies such as building retrofit, demand side management …
Perceived distribution quality awareness, organizational culture, TQM on quality output
Purpose: For the last few decades, TQM has become a hot topic in the inner-disciplinary
field in the production management line. Still, unfortunately, the study of TQM and Quality …
field in the production management line. Still, unfortunately, the study of TQM and Quality …
How to address the data quality issues in regression models: A guided process for data cleaning
Today, data availability has gone from scarce to superabundant. Technologies like IoT,
trends in social media and the capabilities of smart-phones are producing and digitizing lots …
trends in social media and the capabilities of smart-phones are producing and digitizing lots …
IoT data quality issues and potential solutions: a literature review
T Mansouri, MR Sadeghi Moghadam… - The Computer …, 2023 - academic.oup.com
Abstract In the Internet of Things (IoT), data gathered from dozens of devices are the base for
creating business value and develo** new products and services. If data are of poor …
creating business value and develo** new products and services. If data are of poor …
Generalized nets as a tool for the modelling of data mining processes
K Atanassov - Innovative issues in intelligent systems, 2016 - Springer
Generalized Nets as a Tool for the Modelling of Data Mining Processes | SpringerLink Skip to
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Intuitionistic fuzzy logics as tools for evaluation of data mining processes
K Atanassov - Knowledge-Based Systems, 2015 - Elsevier
Abstract The Intuitionistic Fuzzy Sets (IFSs), proposed in 1983, are extensions of fuzzy sets.
Some years after their introduction, sequentially, intuitionistic fuzzy propositional logic …
Some years after their introduction, sequentially, intuitionistic fuzzy propositional logic …
An interactive error-correcting approach for IoT-sourced event logs
Although Internet of Things (IoT) systems are widely used in various industries, they are
prone to data collection errors due to device limitations and environmental factors. These …
prone to data collection errors due to device limitations and environmental factors. These …
From theory to practice: A data quality framework for classification tasks
The data preprocessing is an essential step in knowledge discovery projects. The experts
affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge …
affirm that preprocessing tasks take between 50% to 70% of the total time of the knowledge …