Skip to main content

Augmenting an Artificial Immune Network

Neal, M. and Hunt, J. and Timmis, J. (1998) Augmenting an Artificial Immune Network. In: SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics, 4 . IEEE, pp. 3821-3826. ISBN 0-7803-4778-1. (doi:10.1109/ICSMC.1998.726683) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21565)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICSMC.1998.726683

Abstract

The human immune system can provide many metaphors that can be utilised effectively in the field of machine learning. These metaphors have been successfully applied to the complex real world problem of mortgage fraud detection, using a learning system known as Jisys. The Jisys system identifies patterns in mortgage fraud data by constructing an immune network, which is then evolved through the analysis of additional fraudulent and non-fraudulent applications. By viewing this network, a human expert can gain a better understanding of the fraudulent behavior.

Finally, the paper presents some analysis of the structures generated by the Jisys system and relates them back to the known structures in the training data set.

Item Type: Book section
DOI/Identification number: 10.1109/ICSMC.1998.726683
Uncontrolled keywords: immune system; humans; computer science; loans and mortgages; performance loss; training data; artificial immune systems; machine learning; learning systems
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 21 Aug 2009 23:43 UTC
Last Modified: 16 Feb 2021 12:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21565 (The current URI for this page, for reference purposes)
  • Depositors only (login required):