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2021
In the era of big data, outlier detection has become an important task for many applications, such as the network intrusion detection system. Data streams are a unique type of big data, which recently has gained a lot of attention from researchers. Nevertheless, there are challenges in applying traditional outlier detection algorithms for data streams.
Omar Alghushairy +3 more
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In the era of big data, outlier detection has become an important task for many applications, such as the network intrusion detection system. Data streams are a unique type of big data, which recently has gained a lot of attention from researchers. Nevertheless, there are challenges in applying traditional outlier detection algorithms for data streams.
Omar Alghushairy +3 more
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Active Semi-supervised Affinity Propagation Clustering Algorithm Based on Local Outlier Factor
2018 37th Chinese Control Conference (CCC), 2018Clustering algorithm can reveal the inherent properties and laws of data through the learning of unlabeled data. However, interference data exists in some fields of different data forms, and the clustering will reduce the credibility of clustering results without processing data.
Lei Qi, Li Ting
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Application of Cluster-Based Local Outlier Factor Algorithm in Anti-Money Laundering
2009 International Conference on Management and Service Science, 2009Financial institutions’ capability in recognizing suspicious money laundering transactional behavioral patterns (SMLTBPs) is critical to anti-money laundering. Combining distance-based unsupervised clustering and local outlier detection, this paper designs a new cluster-based local outlier factor (CBLOF) algorithm to identify SMLTBPs and use authentic ...
exaly +2 more sources
Robust Anomaly Detection Using Local Outlier Factor and the Bayesian Bagged Clustering Algorithm
Silvia Figiniexaly +2 more sources
The International Journal of Advanced Manufacturing Technology, 2019
In this research, we proposed a real-time chatter detection and suppression module for intelligent spindle to increase machining efficiency and processing yield. For early detections of chatters, the relative wavelet packet energy entropy with high sensitivity in the high-frequency band and the local outlier factor (LOF) algorithm were utilized as ...
Yung-Chen Yao +3 more
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In this research, we proposed a real-time chatter detection and suppression module for intelligent spindle to increase machining efficiency and processing yield. For early detections of chatters, the relative wavelet packet energy entropy with high sensitivity in the high-frequency band and the local outlier factor (LOF) algorithm were utilized as ...
Yung-Chen Yao +3 more
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The Fault Detection Method for Fluidized Bed Agglomeration Based on Local Outlier Factor Algorithm
10th International Symposium on Project Management (ISPM2022), 2022Simengxu Qiao, Xinze Qiu, Pengjie Fan
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Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm
2023Czeslaw Horyn +1 more
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2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2022
Kanishka Negi +4 more
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Kanishka Negi +4 more
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