Mixed data comprises both numeric and categorical features, and mixed datasets occur
frequently in many domains, such as health, finance, and marketing. Clustering is often …

Abstract Internet of Things (IoT) connects the physical world and the cyber world to offer
intelligent services by data mining for big data. Each big data sample typically involves a …

Islamic banking is among rapidly-growing components in the world's financial system. Within
its institutions, continuous criteria of efficiency facilitate the evaluation of the impact of the …

Background The visual analogue scale (VAS) is widely used in clinical practice by
occupational physicians to assess perceived stress in workers. However, a single cut-off …

Abstract Advances in Online Social Networks is creating huge data day in and out providing
lot of opportunities to its users to express their interest and opinion. Due to the popularity …

Fuzzy clustering is an invaluable data mining technique that allows each data point to
belong to more than one cluster with some degree of membership. It is widely employed in …

Abstract Automatic Vehicles Counting and Recognizing (AVCR) is a very challenging topic
in transport engineering having important implications for the modern transport policies …

Clustering as an unsupervised machine learning technique has appeared as a great
learning method to examine correctly the huge volume of dataset produced by today's …

Many methods of image acquisition from medical multidimensional data rely on continuous
techniques whereas in fact they are used in a finite discrete field. The discretization step is …

Selecting only the relevant subsets from all gathered data has never been as challenging as
it is in these times of big data and sensor fusion. Multiple complementary methods have …