Computational Immunity and Anomaly Detection in Financial Transactions


Mahabat, Siti Salmah (2012) Computational Immunity and Anomaly Detection in Financial Transactions. Masters thesis, Multimedia University.

Full text not available from this repository.


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.

Item Type: Thesis (Masters)
Subjects: H Social Sciences > HG Finance
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Users 1102 not found.
Date Deposited: 23 Nov 2012 04:53
Last Modified: 23 Nov 2012 04:53


Downloads per month over past year

View ItemEdit (login required)