Thesis Topic Details

Topic ID:
3097
Title:
Concomitance based webpage classification for financial systems
Supervisor:
Sri Parameswaran
Research Area:
Algorithms
Associated Staff
Assessor:
Aleksandar Ignjatovic
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE BIOM
Group Suitable:
No
Industrial:
No
Pre-requisites:
--
Description:
A novel method called Concomitance has been developed at UNSW. This project examines methods to use this method to improve upon webpage classification methods in the world of finance.
Comments:
--
Past Student Reports
  Zheng Wei Benjamin KWEK in s2, 2010
Concomitance based webpage classification for financial systems
 

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