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
A Kernel Connectivity-based Outlier Factor Algorithm for Rare Data Detection in a Baking Process
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.316
Abstract: Abstract Due to strict legislation on greenhouse gas emission reduction, energy intensive industries include the bakery industry are all under pressure to improve the energy efficiency in the manufacturing processes. In this paper, an energy… read more here.
Keywords: kernel; outlier factor; energy; based 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
Geodesic Affinity Propagation Clustering Based on Angle-Based Outlier Factor
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DOI: 10.1109/access.2023.3271996
Abstract: The affinity propagation (AP) clustering algorithm has received a lot of attention over the past few years. AP is efficient and insensitive to initialization, and generates clustering results with lower error and in less time.… read more here.
Keywords: propagation clustering; outlier factor; based outlier; affinity propagation ... See more keywords
Data-Defect Inspection With Kernel-Neighbor-Density-Change Outlier Factor
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2016.2603420
Abstract: Data-defect would affect the data quality and the analysis results of data mining. This paper presents a data-defect inspection method with kernel-neighbor-density-change outlier factor (KNDCOF). The definition of kernel neighbor density is proposed to represent… read more here.
Keywords: defect inspection; data defect; outlier factor; density ... See more keywords
Abnormal Data Detection Based on Adaptive Sliding Window and Weighted Multiscale Local Outlier Factor for Machinery Health Monitoring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
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