Results 11 to 20 of about 225,245 (281)
Outlier Detection Credit Card Transactions Using Local Outlier Factor Algorithm (LOF)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Threats or fraud for credit card owners and banks as service providers have been harmed by the actions of perpetrators of credit card thieves. All transaction data are stored in the bank's database, but are limited in information and cannot be used as a ...
Silvano Sugidamayatno, Danang Lelono
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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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Robust Incremental Outlier Detection Approach Based on a New Metric in Data Streams
IEEE Access, 2021 Detecting outliers in real time from multivariate streaming data is a vital and challenging research topic in many areas. Recently introduced the incremental Local Outlier Factor (iLOF) approach and its variants have received considerable attention as ...
Ali Degirmenci, Omer Karal
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Zhongguo Jianchuan Yanjiu, 2022 ObjectivesIn response to the increasing depth of research and design on liquefied natural gas (LNG) ship structures, higher requirements are put forward for a reliability analysis method that can quickly and accurately evaluate uncertain factors.
Xuejian LI +3 more
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Energy Reports, 2023 The missing and abnormal data in power transformer operation and monitoring greatly affect the accuracy of fault diagnosis and thus threaten the stable operation of power systems.
Dexu Zou +9 more
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An Efficient Density-Based Local Outlier Detection Approach for Scattered Data
IEEE Access, 2019 After the local outlier factor was first proposed, there is a large family of local outlier detection approaches derived from it. Since the existing approaches only focus on the extent of overall separation between an object and its neighbors, and ignore
Shubin Su +6 more
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Electricity Theft Detection in AMI Based on Clustering and Local Outlier Factor
IEEE Access, 2021 As one of the key components of smart grid, advanced metering infrastructure (AMI) provides an immense number of data, making technologies such as data mining more suitable for electricity theft detection.
Yanlin Peng +6 more
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Discrimination among Winding Mechanical Defects in Transformer Using Noise Detection and Data Mining Boosting Method [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2021 IIn this paper, an efficient method to detect and discriminate mechanical defects of transformer winding based on extracting the winding frequency responses using outlier data detection and ensemble algorithms ,which in total constitutes an efficient ...
Zahra Moravej +2 more
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Implementation and assessment of two density-based outlier detection methods over large spatial point clouds [PDF]
, 2018 Several technologies provide datasets consisting of a large number of spatial points, commonly referred to as point-clouds. These point datasets provide spatial information regarding the phenomenon that is to be investigated, adding value through ...
Fissore, Francesca +3 more
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