An overview of data quality frameworks

C Cichy, S Rass - Ieee Access, 2019 - ieeexplore.ieee.org
Nowadays, the importance of achieving and maintaining a high standard of data quality is
widely recognized by both practitioners and researchers. Based on its impact on …

Data quality and trust: Review of challenges and opportunities for data sharing in iot

J Byabazaire, G O'Hare, D Delaney - Electronics, 2020 - mdpi.com
Existing research recognizes the critical role of quality data in the current big-data and
Internet of Things (IoT) era. Quality data has a direct impact on model results and hence …

Big data quality framework: a holistic approach to continuous quality management

I Taleb, MA Serhani, C Bouhaddioui, R Dssouli - Journal of Big Data, 2021 - Springer
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …

Defining big data

I Emmanuel, C Stanier - Proceedings of the International Conference on …, 2016 - dl.acm.org
As Big Data becomes better understood, there is a need for a comprehensive definition of
Big Data to support work in fields such as data quality for Big Data. Existing definitions of Big …

An advanced big data quality framework based on weighted metrics

W Elouataoui, I El Alaoui, S El Mendili… - Big Data and Cognitive …, 2022 - mdpi.com
While big data benefits are numerous, the use of big data requires, however, addressing
new challenges related to data processing, data security, and especially degradation of data …

Big data quality: A quality dimensions evaluation

I Taleb, HT El Kassabi, MA Serhani… - 2016 Intl IEEE …, 2016 - ieeexplore.ieee.org
Data is the most valuable asset companies are proud of. When its quality degrades, the
consequences are unpredictable, can lead to complete wrong insights. In Big Data context …

[PDF][PDF] A survey on cleaning dirty data using machine learning paradigm for big data analytics

MZH Jesmeen, J Hossen, S Sayeed, CK Ho… - Indones. J. Electr. Eng …, 2018 - academia.edu
Recently Big Data has become one of the important new factors in the business field. This
needs to have strategies to manage large volumes of structured, unstructured and semi …

An hybrid approach to quality evaluation across big data value chain

MA Serhani, HT El Kassabi, I Taleb… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
While the potential benefits of Big Data adoption are significant, and some initial successes
have already been realized, there remain many research and technical challenges that must …

Dealing with data challenges when delivering data-intensive software solutions

UM Graetsch, H Khalajzadeh, M Shahin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The predicted increase in demand for data-intensive solution development is driving the
need for software, data, and domain experts to effectively collaborate in multi-disciplinary …

Quality of data sets that feed AI and big data applications for law enforcement

M Kusak - ERA Forum, 2022 - Springer
In the era of big data and artificial intelligence (AI), where aggregated data is used to learn
about patterns and for decision-making, quality of input data seems to be of paramount …