AINE: An Immunological Approach to Data Mining

Knight, Thomas and Timmis, Jon (2001) AINE: An Immunological Approach to Data Mining. In: IEEE International Conference on Data Mining. (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)

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An investigation has been undertaken to repeat previous work on an artificial immune system for data analysis called AINE (Artificial Immune Network). The previous work was limited to testing the algorithm on relatively small data sets. The aim of this investigation is two fold, firstly to corroborate the results presented in previous work and secondly, to test the algorithm on a larger and more complex data set. A new re-implementation of AINE is then described and differences in behaviour are identified and explained. It is argued that the behaviour seen in the new implementation is more accurate than that seen in previous work and an in-depth analysis of the algorithm structure is undertaken in order to confirm these observations. The algorithm is also tested on new data and the results of this are presented. Comparisons are draw with other similar techniques for data mining and it is argued that AINE is an effective data-mining algorithm.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: data mining, artificial immune systems, kohonen networks
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:58
Last Modified: 25 Jun 2014 09:43
Resource URI: (The current URI for this page, for reference purposes)
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