@inproceedings{e3d0323081bd488cbdeb651cf447c347,
title = "Accelerating Immunos 99",
abstract = "Immunos 99 is a classification algorithm based upon the principles of Artificial Immune Systems (AIS). AIS algorithms can provide alternatives to classical techniques such as decision trees for classification tasks. Immunos 99 provides one alternative however the algorithm and implementations have some room for performance improvement. This paper discusses improvements made to Immunos 99 and its reference implementation to improve runtime performance. The new algorithm/implementation results in an approximate 40% reduction in run time on test data. The paper closes with a proposal for an implementation of the Immunos 99 algorithm that is suitable for use on map/reduce clusters.",
author = "Paul Taylor and Polack, {Fiona A.C.} and Jon Timmis",
note = "Publisher Copyright: {\textcopyright} 2013 Proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013. All rights reserved.; 12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013 ; Conference date: 02-09-2013 Through 06-09-2013",
year = "2013",
doi = "10.7551/978-0-262-31709-2-ch133",
language = "English",
series = "Proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013",
publisher = "MIT Press Journals",
pages = "893--898",
booktitle = "Proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systems",
address = "United States of America",
}