Visual Analysis of Big Data
Project Description

Our world becomes more and more visual (e.g., video, image, and infographics). Visualization is an increasingly important research area which focuses on turning data into visual representations to help people gain insight into complex and voluminous data. In the big data era, visualization plays an important role and is widely considered key to big data analytics success. More information about data visualization: http://www.cse.ust.hk/~huamin/vis_intro.pdf

Our group has worked with various large-scale data including
- Social media data like Twitter, Weibo, and Wechat
- Vehicle trajectory and public transportation data
- Mobile phone data
- Text data like news articles
- Air pollution data
- Social network and large graph data
- Data from Massive Online Open Courses (MOOCs)

Some project information:
Urban and Social Media Visualization: http://ihome.ust.hk/~wwuag/urbanvis/
Large graph and social network: http://vis.cse.ust.hk/groups/visnexus/
MOOCs: http://ihome.ust.hk/~qchenah/vismooc/

The research topics include:
1. New visualization encoding schemes for these data
2. Combining data mining and visualization for analyzing these data
3. Visualization of these data on mobile devices.

Supervisor
QU Huamin
Quota
10
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

1. Do a survey on big data visualization
2. Pick up a problem and work with the professor for novel solutions
3. Implement a novel algorithm

Applicant's Learning Objectives

1. Get a taste of research
2. Get familiar with a hot research topic
3. Improve critical and creative thinking
4. May contribute to a research paper

Complexity of the project
Moderate