TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams
Sensors, 2020 Outlier detection in data streams is crucial to successful data mining. However, this task is made increasingly difficult by the enormous growth in the quantity of data generated by the expansion of Internet of Things (IoT).
Jen-Wei Huang +2 more
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An Outlier Detection Algorithm Based on Local Density Feedback Outlier Factor [PDF]
Abstract Neighborhood similarity assumes that adjacent objects should exhibit similar characteristics. To address the issue that previous density-based algorithms neglected neighborhood similarity and global information, resulting in low accuracy for outlier detection, we propose an outlier detection algorithm based on local density feedback ...
Zhongping Zhang +3 more
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Vertical Approach Anomaly Detection Using Local Outlier Factor
, 2023 Detection of anomalies based on smart meter data is crucial to identify potential risks and unusual events at an early stage. In addition anomaly detection can be used as a tool to detect unwanted outliers, caused by operational failures and technical faults, for the pre-processing of data for machine learning, to detect concept drift as well as ...
Nils Jakob Johannesen +2 more
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Outlier Detection and Explanation Method Based on FOLOF Algorithm [PDF]
EntropyOutlier mining constitutes an essential aspect of modern data analytics, focusing on the identification and interpretation of anomalous observations. Conventional density-based local outlier detection methodologies frequently exhibit limitations due to ...
Lei Bai, Jiasheng Wang, Yu Zhou
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Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network. [PDF]
Sci RepRabih R +3 more
europepmc +3 more sources
A User-Adaptive Algorithm for Activity Recognition Based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution. [PDF]
Sensors (Basel), 2018 Zhao S, Li W, Cao J.
europepmc +3 more sources
Local outlier factor algorithm based on correction of bidirectional neighbor
Tongxin xuebao, 2020 A local outlier factor algorithm based on bidirectional neighbor correction was proposed to solve the problems of existing outlier detection algorithms such as difficulty in parameter selection,poor efficiency and low accuracy.The bidirectional neighbor ...
Xiaohui YANG, Xiaoming LIU
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The Network Link Outlier Factor (NLOF) for Fault Localization [PDF]
IEEE Open Journal of the Communications Society, 2020 We describe and experimentally evaluate the performance of our Network Link Outlier Factor (NLOF) for locating faults in communication networks. The NLOF is a unique outlier score assigned to each link in a network. It is computed using four distinct stages in a data analytics pipeline.
Christopher Mendoza, Michael P. McGarry
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Using local outlier factor to detect fraudulent claims in auto insurance [PDF]
Mathematics and Modeling in Finance, 2022 Given the significant increase in fraudulent claims and the resulting financial losses, it is important to adopt a scientific approach to detect and prevent such cases.
Maryam Esna-Ashari +2 more
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Clustering-Based Outlier Detection Technique Using PSO-KNN
Journal of Applied Science and Engineering, 2023 In this work, we present an unsupervised machine learning algorithm for outlier detection by integrating Particle Swarm Optimization (PSO) and the K-nearest neighbor (KNN) technique.
Sushilata D. Mayanglambam +2 more
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