作者: Charu C. Aggarwal , Saket Sathe
DOI: 10.1007/978-3-319-54765-7_2
关键词: Artificial intelligence 、 Outlier 、 Computer science 、 Anomaly detection 、 Data records 、 Ensemble analysis 、 Pattern recognition
摘要: Outlier detection is an unsupervised problem, in which labels are not available with data records (Aggarwal, analysis, 2017, [2]). As a result, it generally more challenging to design ensemble analysis algorithms for outlier detection. In particular, methods that require the use of intermediate steps algorithm cannot be generalized