Multidimensional data visualization is one of the primary foundations supporting data
analysis used for understanding the hidden relationships between items and dimensions of …

The data visualization makes for analysts easier to perform the exploratory analysis and
research process. Unlike traditional data, other features mark the data in the Big Data …

The medical diagnostic process may be supported by computational classification
techniques. In many cases, patients are affected by multiple illnesses, and more than one …

The visualization of categorical datasets is an open field of research. While a number of
standard diagramming techniques exist to investigate data distributions across multiple …

Data visualization is the main focusing concept in big data analysis for processing and
analyzing multi variate data, because of rapid growth of data size and complexity of data …

The crucial problem of the integration of multiple platforms is how to adapt for their own
computing features so as to execute the assignments most efficiently and gain the best …

Water scarcity is one of the serious problems that California is facing today. Water scarcity
leads to doughtiness when not properly addressed. In the recent years, California faces a …

Virtual Reality (VR) offers potential to develop new visualization and interaction techniques.
As a powerful tool it enables users to work in an encapsulated environment, without external …

This paper explores inclusive wealth (IW) index using visual interfaces, which provide better
economic interpretation. Two views are provided for the visual representation: a cluster view …

In this paper we develop an illustrated guide for IWR2017 data. Graphical representations
aim to reveal the multi-layer nature of IWR data with self-explanatory schemes. There are …