Results 21 to 30 of about 48,813 (257)
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
openaire +2 more sources
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
doaj +1 more source
A Comparative Study for Outlier Detection Strategies Based On Traditional Machine Learning For IoT Data Analysis. [PDF]
IJCI International Journal of Computers and Information, 2022 Internets of Things (IoT) systems are increasing very fast. They have different types of wireless sensor networks (WSN) behind them. These networks have many applications that are a portion of our life such as healthcare, agricultural, mechanical, and ...
Khalid Amin +2 more
doaj +1 more source
Power Frequency Adaptive Suppression Method Based on Local Outlier Factor of Frequency Density [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2023 Bioelectric signals belong to weak low-frequency signals with strong noise, therefore it is necessary to filter out power frequency interference. In order to ensure the accuracy and effectiveness of the filtering during power frequency offset, local ...
HUANG Zijuan, TU Juan, DAI Zunxiang
doaj +1 more source
An Outlier Detection Approach Based on Improved Self-Organizing Feature Map Clustering Algorithm
IEEE Access, 2019 Local Outlier Factor (LOF) outlier detecting algorithm has good accuracy in detecting global and local outliers. However, the algorithm needs to traverse the entire dataset when calculating the local outlier factor of each data point, which adds extra ...
Ping Yang +4 more
doaj +1 more source
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
doaj +1 more source
Dynamic graph embedding for outlier detection on multiple meteorological time series.
PLoS ONE, 2021 Existing dynamic graph embedding-based outlier detection methods mainly focus on the evolution of graphs and ignore the similarities among them. To overcome this limitation for the effective detection of abnormal climatic events from meteorological time ...
Gen Li, Jason J Jung
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
A Two-Level Approach based on Integration of Bagging and Voting for Outlier Detection
Journal of Data and Information Science, 2020 The main aim of this study is to build a robust novel approach that is able to detect outliers in the datasets accurately. To serve this purpose, a novel approach is introduced to determine the likelihood of an object to be extremely different from the ...
Dogan Alican, Birant Derya
doaj +1 more source