This paper describes a real-valued representation for the negative selection
algorithm and its applications to anomaly detection. In many anomaly detection
applications, only positive (normal) samples are available for training purpose.
However, conventional classification algorithms need samples for all classes
(e.g. normal and abnormal) during the training phase. This approach uses only
normal s... hiện toàn bộ