Due to the importance of quality issues in Big Data, Big Data quality management has attracted significant research attention on how to measure, improve and manage the quality for Big Data. This special issue in the Journal of Informatics thus tends to address the quality problems in Big Data as well as promote further research for Big Data quality. Our editorial describes the state-of-the-art research challenges in the Big Data quality research, and highlights the contributions of each paper accepted in this special issue
The amount of data to be produced and analyzed is increasing year by year. As a result, the concept ...
Big data has been widely known for its enormous potential in various industries, including finance. ...
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent...
Due to the importance of quality issues in Big Data, Big Data quality management has attracted signi...
With a continuously increasing amount and complexity of data being produced and captured, traditiona...
This article investigates the evolution of data quality issues from traditional structured data mana...
High-quality data is a prerequisite for most types of analysis. However, since data quality does not...
Achieving high level of data quality is considered one of the most important assets for any small, m...
We constantly produce lots of data everyday via social media, public transport, global positioning s...
In the Big Data Era, data is one of the most important core elements for any governmental, instituti...
The Data Warehousing Institute (TDWI) estimates that data quality problems cost U.S. businesses more...
10th International Conference on the Quality of Information and Communications Technology, QUATIC 20...
The increased reliance on data driven enterprise has seen an unprecedented investment in big data in...
The aim of this review is to highlight issues in data quality research and to discuss potential rese...
Beyond the hype of Big Data, something within business intelligence projects is indeed changing. Thi...
The amount of data to be produced and analyzed is increasing year by year. As a result, the concept ...
Big data has been widely known for its enormous potential in various industries, including finance. ...
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent...
Due to the importance of quality issues in Big Data, Big Data quality management has attracted signi...
With a continuously increasing amount and complexity of data being produced and captured, traditiona...
This article investigates the evolution of data quality issues from traditional structured data mana...
High-quality data is a prerequisite for most types of analysis. However, since data quality does not...
Achieving high level of data quality is considered one of the most important assets for any small, m...
We constantly produce lots of data everyday via social media, public transport, global positioning s...
In the Big Data Era, data is one of the most important core elements for any governmental, instituti...
The Data Warehousing Institute (TDWI) estimates that data quality problems cost U.S. businesses more...
10th International Conference on the Quality of Information and Communications Technology, QUATIC 20...
The increased reliance on data driven enterprise has seen an unprecedented investment in big data in...
The aim of this review is to highlight issues in data quality research and to discuss potential rese...
Beyond the hype of Big Data, something within business intelligence projects is indeed changing. Thi...
The amount of data to be produced and analyzed is increasing year by year. As a result, the concept ...
Big data has been widely known for its enormous potential in various industries, including finance. ...
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent...