Results 241 to 250 of about 696,171 (284)

Local peculiarity factor and its application in outlier detection

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008
Peculiarity oriented mining (POM), aiming to discover peculiarity rules hidden in a dataset, is a new data mining method. In the past few years, many results and applications on POM have been reported. However, there is still a lack of theoretical analysis.
Jian Yang 0016, Ning Zhong 0001, Yiyu Yao, Jue Wang 0004   +3 more
openaire   +1 more source

Measurement Error Prediction of Power Metering Equipment Using Improved Local Outlier Factor and Kernel Support Vector Regression

IEEE transactions on industrial electronics (1982. Print), 2022
The measurement error evaluation of power metering equipment (PME) is significant for the instrument design and accurate metering of electric energy, especially under extreme environmental stresses.
Jun Ma, Zhaosheng Teng, Qiu Tang, W. Qiu, Yingying Yang, Junfeng Duan   +5 more
semanticscholar   +1 more source

A Hybrid Vertex Outlier Detection Method Based on Distributed Representation and Local Outlier Factor

2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
Outlier detection is a basic task in network analysis, which is useful in many applications such as intrusion detection, criminal investigation, and information filtering. In this paper we proposed a hybrid outlier detection methods in complex networks based on Vertex Distributed Representation and Local Outlier Factor, with the aim to find abnormal ...
Zili Li 0005, Li Zeng
openaire   +1 more source

LSTM-Assisted SINS/2D-LDV Tightly Coupled Integration Approach Using Local Outlier Factor and Adaptive Filter

IEEE Transactions on Instrumentation and Measurement
The tightly coupled integration of strapdown inertial navigation system (SINS) and 2-D laser Doppler velocimeter (2D-LDV) enhances system robustness by directly using raw 2D-LDV measurements, making it well-suited for land autonomous navigation. However,
Zhiyi Xiang, Qi Wang, Xiaoming Nie, Shilong Jin, Jian Zhou   +4 more
semanticscholar   +1 more source

Adaptive fuzzy C-means clustering integrated with local outlier factor

Intelligent Data Analysis, 2022
The conventional fuzzy C-means (FCM) is sensitive to the initial cluster centers and outliers, which may cause the centers deviate from the real centers when the algorithm converges. To improve the performance of FCM, a method of initializing the cluster centers based on probabilistic suppression is proposed and an improved local outlier factor is ...
Chunyan She, Shaohua Zeng, Qi Wang, Shuai Wang, Yidan Xu   +4 more
openaire   +1 more source

SST-LOF: Container Anomaly Detection Method Based on Singular Spectrum Transformation and Local Outlier Factor

IEEE Transactions on Cloud Computing
In recent years, the use of container cloud platforms has experienced rapid growth. However, because containers are operating-system-level virtualization, their isolation is far less than that of virtual machines, posing considerable challenges for multi-
Shilei Bu, Minpeng Jin, Jie Wang, Yulai Xie, Liangkang Zhang   +4 more
semanticscholar   +1 more source

Weighted Local Outlier Factor for Detecting Anomaly on In-Vehicle Network

2020 16th International Conference on Mobility, Sensing and Networking (MSN), 2020
Modern vehicles are generally equipped with dozens of (or even hundreds of) electronic and intelligent devices and bloom into more involved information hub in enabling V2X networking. Protecting this increasingly complex vehicle ecosystem can be an arduous task, especially as the proliferation of data across distinct connected devices makes them more ...
Yuan Linghu, Ming Xu 0010, Xiangxue Li, Haifeng Qian   +3 more
openaire   +1 more source

An Efficient Switching Median Filter Based on Local Outlier Factor

IEEE Signal Processing Letters, 2011
An effective algorithm for removing impulse noise from corrupted images is presented under the framework of switching median filtering. Firstly, noisy pixels are distinguished by Local Outlier Factor incorporating with Boundary Discriminative Noise Detection (LOFBDND).
Wei Wang, Peizhong Lu
openaire   +1 more source

Instance Weighted Clustering: Local Outlier Factor and K-Means

2020
Clustering is an established unsupervised learning method. Substantial research has been carried out in the area of feature weighting, as well instance selection for clustering. Some work has paid attention to instance weighted clustering algorithms using various instance weighting metrics based on distance information, geometric information and ...
Paul Moggridge, Na Helian, Yi Sun 0001, Mariana Lilley, Vito Veneziano   +4 more
openaire   +1 more source

Enhanced Fault Detection for GNSS/INS Integration Using Maximum Correntropy Filter and Local Outlier Factor

IEEE Transactions on Intelligent Vehicles
Fault detection is crucial to isolate positioning risks for safety-critical applications using Global Navigation Satellite Systems. Conventional Kalman filter-based fault detection methods mainly focus on satellite measurement faults and presume that the
Weishu Wang, Shangguan Wei, Jiang Liu, Junjie Chen   +3 more
semanticscholar   +1 more source