In the past decade the analysis of data has faced the challenge of dealing with very large and complex datasets and the real time generation of data. Technologies to store and access these complex and large datasets are in place. However, robust and scalable analysis technologies are needed in order to extract meaningful information from these datasets. The research field of Information Visualisation and Visual Data Analytics addresses this need. Information visualisation and data mining are often used complementary to each other. Their common goal is the extraction of meaningful information from complex and possibly large data. However, whereas data mining focuses on the usage of silicon hardware, visualisation techniques also aim to access the powerful image processing capabilities of the human brain. This article highlights the research on data visualisation and Visual Analytics techniques. Furthermore we highlight existing Visual Analytics techniques, systems and applications including a perspective on the field from the chemical process industry.
['Frederic T. Stahl', 'Bogdan Gabrys', 'Mohamed Medhat Gaber', 'Monika Berendsen']
An overview of interactive visual data mining techniques for knowledge discovery