The healthcare services industry has seen a huge transformation since the prominent rise of
the Internet of Things (IoT). IoT in healthcare services includes a large number of unified and …

Tabular data is a common form of organizing data. Multiple models are available to generate
synthetic tabular datasets where observations are independent, but few have the ability to …

Advancements in Industry 4.0 brought tremendous improvements in the healthcare sector,
such as better quality of treatment, enhanced communication, remote monitoring, and …

Today, modern healthcare systems rely on advanced computational technologies, including
cloud‐based systems, to gather and examine personal health data on a large scale. The use …

For the extraction of useful patterns, the collected data should be distributed to and shared
with analyzers. This, however, creates problems and challenges for the individual with …

Technological advancements in the field of Big Data and IoT have led to unprecedented
growth in digital data. Data is collected from multiple distributed sources by business …

The prevalence of missing values in the data streams collected in real environments makes
them impossible to ignore in the privacy preservation of data streams. However, the …

Data streams have become a widely-adopted data representation format in many real-world
applications. This data streaming may be published for different scientific research, mining …

Recently big data and its applications had sharp growth in various fields such as IoT,
bioinformatics, eCommerce, and social media. The huge volume of data incurred enormous …

Preserved privacy and enhanced utility are two competing requirements in data publishing.
For maintaining a trade-off between the two; a plethora of research work exist in 1: 1 …