With the explosion of Big Data, visualizing statistical data became a challenging topic that
has involved many research efforts over the last years. Interpreting Big Data and efficiently …

The survey given by the World Health Organization (WHO), says that most of the women
who are pregnant die every day related to issues during pregnancy and childbirth such as …

Processing, visualizing and understanding data from meteorological networks can present
several challenges due to the variety and complexity of the data and must be accessible in …

Data visualisation is a challenging topic, attracting much attentions from the scientific
community as well as application developers, especially in the healthcare domain. Due to a …

In this paper, we proposed a method that allows the integration between privacy and
understanding of data in Process Mining projects. Due to the latest reports of cyber attacks in …

The meteorological data in networks are susceptible to errors and irregularities, one of the
reasons is because they are collected by different types of meteorological stations, the …

Complexity is one of the main characteristics of measuring data. Heterogeneous data
contributes to data integrity and the process of big data problems. Both are essential and …

The tremendous growth of big data has caused the data visualization process becomes
more complex and challenging, and yet, data is expected to be increased from time to time …

Abstract Nowadays, Information and Communication Technologies (ICT) are widely adopted
in hospitals. Increasingly often medical devices are computer-assisted. Hospital Information …

In the last years, Smart Cities are becoming very popular within the scientific community.
There are many definitions of Smart Cities: according to Giffinger a city becomes smart only …