This is a one year Master by Research degree. It is accompanied by a series of workshop on the topics important to visual analytics, including Information Visualisation, HCI, Sense Making, Logic and Reasoning, Statistics, and Data Mining.
Find out more at the course webpage here.
Here are the dates we aim at:
June 18: Finish design and implementation
June 29: Finish writing and video (firm deadline)
Here is the grouping of mini challenge so far:
1. William, Simon, Dong-Han
2. Tamara, Yong, Kai
3. Martin, Peter
We’ll decide in about a week what mini challenge(s) to foucs on.
Tools might be useful. They are all open source if not mentioned otherwise.
(Graph) Viusalization:
1. Prefuse: Java, library, 2D visualization, distortion, and interaction. Here is its demonstration video.
2. WilmaScope: Java, 3D graph visualization, GUI, and plug-in architecture.
Graph analysis (social network analysis)
1. Pajek: close source, GUI, and fast for large graphs.
2. JUNG: Java, library, also visualization.
Geographicial visualization
1. GeoTools: Java, library.
2. OpenJUMP: Java, GUI.
Data Mining
1. WEKA: Java, Library
2. KNIME: Java, GUI, text, image, time seriers, and WEKA.
VASS 2010
Visual Analytics Summer School, 16th-24th September 2010.
Middlesex University, London, UK.
The VAST 2010 Challenge website is here. Below is the bits of information I found important:
Deadline: June 29
Notification: August 10
This is a summary of the challenges. Go here for the details.
Mini challenge 1: forensic analysis of illegal arms dealing
Organize results according to country
1.1 Detailed answer: activities in each country and prediction
1.2 Detailed answer: association among the players through social network
Required skills:
Mini Challenge 2: Hospitalization Records – Characterization of Pandemic Spread
2.1 Detailed answer: characterize the spread of the disease.
2.2 Detailed answer: compare outbreaks across cities.
Required skills:
Mini Challenge 3: Genetic Sequences – Tracing the Mutations of a Disease
3.1 Short answer: where is the original of the outbreak (region or country)?
3.2 Short answer: which patient is likely to have contracted the virus from Nicolai and why?
3.3 Short answer: Identify the top 3 mutations that lead to an increase in symptom severity.
3.4 Detailed answer: Identify the top 3 mutations that lead to the most dangerous viral strains
Required skills:
Grand challenge: combine of the 3 mini challenges
Entries will be judged on:
Both commercial software and research prototypes are allowed.
Encouraged to collaborate with teams having complementary skills. The organizer can help.
The dataset can be downloaded here. There are three datasets, but I can’t add the 2nd one here becuase it is over the wordpress size limit. Here are the Mini challenge 1 data files and Mini challenge 3 data files.
(Needed to understand the requirements of the challenges)
Short answers:
Detailed answer:
Video is required to show how the analysis is done.
Debrief
Two-page summary
Welcome to the Visual Analytics blog at the Middlesex University Interaction Design Centre. Here you will find resources related to Visual Analytics and the research activities in the group.
Recent Comments