Detecting anomalies in sequential data augmented with new features
Sign Up to like & getrecommendations! Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-018-9671-x
Abstract: This paper presents a new weighted local outlier factor method for anomaly detection, which is underpinned with three novel components: (1) a piecewise linear representation defined on the basis of the important points that consist… read more here.
Keywords: outlier factor; new features; detecting anomalies; local outlier ... See more keywords
Detection and mitigation of radiometers radio-frequency interference by using the local outlier factor
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DOI: 10.1080/2150704x.2016.1266408
Abstract: ABSTRACT Large amounts of radio-frequency interference (RFI) are present in Earth observations at the L-band frequencies of European Space Agency’s Soil Moisture and Ocean Salinity, the National Aeronautics and Space Administration’s Aquarius and Soil Moisture… read more here.
Keywords: frequency interference; detection mitigation; outlier factor; local outlier ... See more keywords
Abnormal Data Detection Based on Adaptive Sliding Window and Weighted Multiscale Local Outlier Factor for Machinery Health Monitoring
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DOI: 10.1109/tie.2022.3231279
Abstract: Identifying abnormal data to improve data quality is of great importance for machinery health monitoring (MHM). Existing abnormal data detection methods generally depend on appropriate parameter settings and prior knowledge of data distribution, which result… read more here.
Keywords: abnormal data; data detection; outlier factor; detection ... See more keywords