Computational Immunity and Anomaly Detection in Financial Transactions
The main objective of this research project is to develop and apply methods based on computation immunity for anomaly detection in financial transactions and to increase the accuracy as well as the efficiency in anomaly detection. The method that proposed to use in this research is Artificial Immune...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2012
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-mmu-ep.3639 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-mmu-ep.36392012-11-23T04:53:02Z Computational Immunity and Anomaly Detection in Financial Transactions 2012-05 Mahabat, Siti Salmah HG Finance The main objective of this research project is to develop and apply methods based on computation immunity for anomaly detection in financial transactions and to increase the accuracy as well as the efficiency in anomaly detection. The method that proposed to use in this research is Artificial Immune System,Genetic Algorithms and k-NN. A comparative performance analysis will be done to make conclusion for their usefulness for financial fraud detection. 2012-05 Thesis http://shdl.mmu.edu.my/3639/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Information Technology |
| institution |
Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
HG Finance |
| spellingShingle |
HG Finance Mahabat, Siti Salmah Computational Immunity and Anomaly Detection in Financial Transactions |
| description |
The main objective of this research project is to develop and apply methods based on computation immunity for anomaly detection in financial transactions and to increase the accuracy as well as the efficiency in anomaly detection. The method that proposed to use in this research is Artificial Immune System,Genetic Algorithms and k-NN. A comparative performance analysis will be done to make conclusion for their usefulness for financial fraud detection. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Mahabat, Siti Salmah |
| author_facet |
Mahabat, Siti Salmah |
| author_sort |
Mahabat, Siti Salmah |
| title |
Computational Immunity and Anomaly Detection in Financial Transactions |
| title_short |
Computational Immunity and Anomaly Detection in Financial Transactions |
| title_full |
Computational Immunity and Anomaly Detection in Financial Transactions |
| title_fullStr |
Computational Immunity and Anomaly Detection in Financial Transactions |
| title_full_unstemmed |
Computational Immunity and Anomaly Detection in Financial Transactions |
| title_sort |
computational immunity and anomaly detection in financial transactions |
| granting_institution |
Multimedia University |
| granting_department |
Faculty of Information Technology |
| publishDate |
2012 |
| _version_ |
1747829532544466944 |