%0 Journal Article %A LEI Henglin %A Gulanbaier Tuerhong %A Mairidan Wushouer %A ZHANG Dongmei %T Review of Novelty Detection %D 2021 %R 10.3778/j.issn.1002-8331.2008-0418 %J Computer Engineering and Applications %P 47-55 %V 57 %N 5 %X

It is a basic ability for intelligent control system to detect abnormal data. Novelty detection is a special kind of anomaly detection, which makes full use of the normal data to build a model, and plays an important role in many intelligent systems. The review of this field can facilitate researchers to quickly understand the recent developments of novelty detection field to find suitable methods for their application research. According to the basic principle of novelty detection method, this paper gives an explication from four aspects:distance-based, probability-based, domain-based and reconstruction-based. Moreover, this paper introduces specific application of each method and the performance on classical datasets, what’s more, it makes a summary analysis in the end. The research results show that the novelty detection methods have been widely used in industrial manufacturing, network security, medical and other fields, showing good adaptability and broad application prospects.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2008-0418