Unsupervised feature selection for outlier detection by modelling hierarchical value-feature couplings
Proper feature selection for unsupervised outlier detection can improve detection performance but is very challenging due to complex feature interactions, the mixture of relevant features with noisy/redundant features in imbalanced data, and the unavailability of class labels. Little work has been d...
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Main Authors: | PANG, Guansong, CAO, Longbing, CHEN, Ling, LIU, Huan |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7145 https://ink.library.smu.edu.sg/context/sis_research/article/8148/viewcontent/07837865.pdf |
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Institution: | Singapore Management University |
Language: | English |
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