A Survey on the Visual Analysis of Financial Data

PhD Qualifying Examination

Title: "A Survey on the Visual Analysis of Financial Data"


Mr. Xuanwu YUE


Market participants and businesses have made tremendous efforts to make the 
best decisions in a timely manner under varying economic and business 
circumstances. As such, decision-making processes based on financial data have 
been a popular topic in industries. However, analyzing financial data is a 
non-trivial task due to large volume, diversity and complexity, and this has 
led to rapid research and development of visualizations and visual analytic 
systems for financial data exploration. Often, the development of such systems 
requires researchers to collaborate with financial domain experts to better 
extract requirements and challenges in their tasks. Work to systematically 
study and gather the task requirements and to acquire an overview of existing 
visualizations and visual analytic systems that have been applied in financial 
domains with respect to real-world data sets.

In this survey, we first introduce the background and motivation of visual 
analysis on financial data and give a comprehensive review of typical tasks 
like anomaly detection, predictive analysis, correlative analysis and FinTech. 
Finally, we conclude the survey with a discussion of future research 

Date:			Tuesday, 10 October 2017

Time:                  	1:00pm - 3:00pm

Venue:                  Room 3494
                         Lifts 25/26

Committee Members:	Prof. Huamin Qu (Supervisor)
 			Prof. Gary Chan (Chairperson)
 			Prof. Dik-Lun Lee
 			Prof. Dimitris Papadias

**** ALL are Welcome ****