Detecting anomalies in time series data is a problem of great practical interest in many manufacturing and signal processing applications. This paper presents a novelty detection algorithm inspired by the negative-selection mechanism of the immune system, which discriminates between self and other. Here self is deened to be normal data patterns and non-self is any deviation exceeding an allowab...
