Is negative selection appropriate for anomaly detection?

  title={Is negative selection appropriate for anomaly detection?},
  author={Thomas Stibor and Philipp H. Mohr and Jonathan Timmis and Claudia Eckert},
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algorithm in general, when applied to anomaly detection. A straightforward self detector classification principle is proposed and its classification performance is compared to a real-valued negative selection algorithm and to a one-class support vector machine. Earlier work suggests that real-value negative selection requires… CONTINUE READING
Highly Cited
This paper has 191 citations. REVIEW CITATIONS

7 Figures & Tables



Citations per Year

192 Citations

Semantic Scholar estimates that this publication has 192 citations based on the available data.

See our FAQ for additional information.