aiVIS - Artificial Immune Network Visualisation

Timmis, Jon (2001) aiVIS - Artificial Immune Network Visualisation. In: EuroGraphics UK 2001 Conference Proceedings. (Full text available)

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Abstract

The field of Artificial Immune Systems (AIS) is the use of the natural immune system as a metaphor for solving computational problems. A novel unsupervised machine-learning algorithm, inspired by the immune system, has been developed called AINE. Using various immunological metaphors, AINE evolves a network of objects, known as an Artificial Immune Network (AIN) that is a diverse representation of the data set being learnt. The results of AINE are visualised in a specially developed tool (aiVIS), which allows the user to interact with the network to perform exploratory analysis. aiVIS presents AINs in such as way as to build up an understanding of the make up of the data set, learning about subtle patterns and clusters within the data set and links between clusters. Unclassified items can then be introduced into the network so to further enhance the exploratory nature of the AIN. This paper provides an overview of the learning algorithm, but concentrates on the visualisation aspect of the work. The usefulness of using AIN for exploratory visualisation is investigated and an explanation of how aiVIS operates is presented.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: immune networks, self organising maps, artificial immune systems, data analysis, visualisation
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 17:59
Last Modified: 06 Sep 2011 01:11
Resource URI: http://kar.kent.ac.uk/id/eprint/13620 (The current URI for this page, for reference purposes)
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