The intricacy of information is one the most important properties data scalability. In regarding unification and solution big challenges, heterogeneous plays an role. As a result vast amount computation storage guidelines recommended by big-scale databases, each them are vital, but they also difficult to view analyse. Digital extraction in era, which increases at exponential rate, huge challeng...

I n 1987, the National Science Foundation (NSF) Panel on Graphics, Image Processing, and Workstations published its landmark report, “Visualization in Scientific Computing,” which set out the vision for developing visualization as a scientific field (www.evl.uic. edu/core.php?mod=4&type=3&indi=348). During the 25 years since then, the visualization field’s horizons have broadened significantly,...

We propose a data visualization tool that offers insights into the way students solve procedural domain problems. The tool uses nodes and edges to represent states and actions which students have generated using an intelligent tutoring system or computer aided instruction tool, ultimately showing the way a student has solved a problem. We use the example of logic tutor data and suggest two meth...

In this paper, we review nine visualization techniques that can be used for visual exploration of multidimensional financial data. We illustrate the use of these techniques by studying the financial performance of companies from the pulp and paper industry. We also illustrate the use of visualization techniques for detecting multivariate outliers, and other patterns in financial performance dat...

In any multidimensional visualization, some information has to be compromised when projecting multidimensional data to twoor three-dimensional space. We introduce the concepts of dimensional and object coherence and correlation to analyze and classify multidimensional visualization techniques. These concepts are used as principles for our design of Hifocon, a new multidimensional data visualiza...