VIGLA-M: visual gene expression data analytics

Big Data Visual Analytics

Visual Analytics for Biological Data

The preeminence of a systems approach in the biological and other life sciences creates enormous challenges for computational visualization techniques to enable researchers to gain insight from their large, highly complex, and multiple datasets. For this special issue, we sought contributions that suitably describe applications of visual analytics (VA) techniques to yield viable results that ar...

Visual Analytics of Dynamic Computer Network Data

This paper presents how visual analytic techniques can be used for analyzing netflow information and thereby finding network attacks. Network security is a field of increasing importance, but also of increasing complexity. Today networks grow and are common in any larger company. At the same time the attacks increase and sensible data is less secure than before. Systems are built for analyzing ...

Vistradas: Visual Analytics for Urban Trajectory Data

In the past few years a growing number of cities have started monitoring the position of public transportation vehicles using GPS devices. Most of these trajectory data are released in raw format and usually have issues, such as measurement errors. Providing insights from these valuable (and noisy) data is a major challenge in larger cities. In this paper we present a system, called Vistradas, ...

A Visual Analytics System for Stock Data

Despite the occasional downfall, stocks have proven to be good investments. However, making money in stock requires a great deal of research. With just under 7,000 stocks listed in the US alone, picking the right stock at the right time can be a daunting task. There are many metrics by which to rate the prospects of a given stock and seasoned investors typically weight these by their own experi...