Visualising Complex Data

1
Visualising Complex Data

• A force based model for visualisation

2
Data Analysis

• What does this data represent?
• Find the underlying meaning in the data.
• Use
• Compression techniques.
• Dimensionality reduction.

3
Complex Data

• Complex data
• High number of dimensions.
• Intricate interdependencies.
• Difficulty in applying traditional techniques.
• Leads to misinterpretation of results.

4
Visualising Complex Data

• Our brains are good at visually perceiving
  patterns.
• This is useful when interpreting complex data
  through visualisation.

5
Force Based Visualisation

• Cercia has developed tools for cluster, network
  and process visualisation.
• Dimensionality reduction.
• Good for small/medium data sets.
• Highly flexible (networks, clusters, etc.)?
• Retains symmetry.
• Intuitive and interactive

6
Forces

• Randomly place each data point in 3D space.
• Apply forces
• All data points repel each other like
  electrically charged particles - Coulombs Law.
• Data points linked together by springs - Hookes
  Law.
• Spring strength depends on similarity between
  data points.

7
Crime Data

• Crime data provides a powerful tool
• Detection and prevention.
• Tracking individuals.
• Investigating specific crimes.

8
Crime Networks

• Identify specific criminal networks.
• The relationship between
• Individuals
• Resources (cars, addresses, etc.).
• Identify correlations within the network.
• Determine best means of disruption.

9
Analysis of Crime Networks

• Manual analysis
• Slow, difficult and tedious.
• Data can be, complex, high dimensional,
  disparate.
• Automated Analysis
• Retrieve information about specific instances.
• Can identify specific instances.
• Hard to get an overview!

10
Demonstration
11
Visualising Criminal Networks

• Nodes Individual criminals
• Links Specific crimes

12
Merging Vehicle Data

• Merge individual vehicles into crime network.

13
Merge Postal Code Data

• Criminals and their crimes can be associated with
  specific localities.

14
Applications

• Processing credit applications
• Detecting and classifying fraud
• Web log analysis
• Analysis of social networks
• Doesnt require you to know what your looking
  for!