Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (5): 47-55.DOI: 10.3778/j.issn.1002-8331.2008-0418

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Review of Novelty Detection

LEI Henglin, Gulanbaier Tuerhong, Mairidan Wushouer, ZHANG Dongmei   

  1. School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
  • Online:2021-03-01 Published:2021-03-02



  1. 新疆大学 信息科学与工程学院,乌鲁木齐 830046


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.

Key words: novelty detection, K-Nearest Neighbor(KNN) algorithm, Gaussian mixture model, One Class Support Vector Machine(OCSVM) algorithm, neural network



关键词: 新奇检测, K最近邻(KNN)算法, 高斯混合模型, 一类支持向量机(OCSVM)算法, 神经网络