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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Download report from the CSE Thesis Report Library NOTE: only current CSE students can login to view and select reports to download. | ||