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Aine: An immunological approach to data mining
T Knight and J Timmis
In N Cercone, T Lin, and Xindon Wu, editors, IEEE International Conference on Data Mining, pages 182-196, San Jose, CA. USA, December 2001. IEEE.Abstract
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.
Bibtex Record
@inproceedings{1317,
author = {Knight, T and Timmis, J},
title = {AINE: An Immunological Approach to Data Mining},
month = {December},
year = {2001},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2001/1317},
publication_type = {inproceedings},
submission_id = {14476_1008678055},
ISBN = {0769511198},
booktitle = {IEEE International Conference on Data Mining},
editor = {Cercone, N and Lin,T and Xindon Wu},
address = {San Jose, CA. USA},
organization = {IEEE},
refereed = {Yes},
}