Visual Analytics

Summary

Visual analytics is the science of human reasoning with data.

Supervisor(s)

Professor Peter Eades

Research Location

Information Technologies

Program Type

N/A

Synopsis

Technological advances such as sensors have increased data volumes in the last few years, and now we are experiencing a “data deluge” in which data is produced much faster than it can be used by humans. Further, these data sets have grown in importance due to factors such as international terrorism, the success of genomics, increasingly complex software systems, and widespread fraud on stock markets. We aim to develop methods for humans to understand patterns in large abstract data sets, especially network data sets. These data sets include telephone call networks, biological networks, physical computer networks, stock buy-sell networks, and transport networks. These new visualization methods are in high demand. The demand has ensured that visualization research projects are well supported by industry.

Keywords

Analysis of Algorithms and Problem Complexity, Visualization, algorithms, Data Mining, networks

Opportunity ID

The opportunity ID for this research opportunity is: 395

Other opportunities with Professor Peter Eades

• Geometric Algorithms
• Algorithmics for social networks
• Embeddings of graphs on arrangements of planes in three dimensions
• Embedding graphs in non-Euclidean geometries
• Drawing Algorithms for Almost Planar Graphs