The ISYS Project
Applying the Immune System Metaphor to Data Analysis and Machine Learning
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The ISYS project is an EPSRC funded project, in collaboration with Integral
Solutions Ltd.. The research concerns a number of issues, shown below
and is inspired by the human immune system and more specifically by the
Immune Network Theory as a means to achieve immunological memory.
The following figure presents the network viewer developed as part of
the ISYS project. This figure illustrates a network generated from a mortgage
application data set. By visualising he immune network, it is possible
to see very easily areas of similarity in the network. The network captures
trends in the data, as opposed to being a direct representation of the
data itself. The cases in the evolved network may well be some of the training
data, but some are also mutated versions of the training data and an initial
network that was used to build the network with.
Further information on the project
An introduction to the Immune
System is available here.
For more information on the project click here.
The HMOI (Her Majesty's Office of Information) have written an article
on the ISYS project which provides an introduction to our work.
- All development of the AIS is done in Java.
- Here is an evolved network from the IRIS data set. As you can see the AIS has successfully separated the data into two distinct clusters, with the larger of the two, containing two sub-clusters. Upon manual investigation of the network, the user can see what makes up the clusters.
A list of publications
is available here. These are not available on line (thanks to Word producing
dodgy postscript). However, if you email Jon Timmis he will send you copies
of our papers.
Research is focusing in the following areas. Much of this work will be
continued by Jon Timmis as part of a PhD, which is being undertaken to
further artificial immune system theory and applications, as the ISYS
project is due to finish in May 1999.
Personnel involved in the project
Dr. Mark Neal / Mr. Jon Timmis,
Centre for Intelligent Systems,
Computer Science Department,
University of Wales, Aberystwyth,
Aberystwyth, Dyfed. SY23 3DB.
23rd Feb. 1999