Results 261 to 270 of about 696,171 (284)

Distribution Adaptation Local Outlier Factor for Multimode Process monitoring

2020 39th Chinese Control Conference (CCC), 2020
In modern industrial processes, the production process includes multiple operating modes, due to changes in production goals and conditions. And the data generated in this process is a mixture of Gaussian and non-Gaussian distributions. Therefore, the data distribution of multimode processes is uncertain and complex.
Yutang Xiao, Yang Tao, Hongbo Shi
openaire   +1 more source

Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems

Proceedings of the 3rd Workshop on General-Purpose Computation on Graphics Processing Units, 2010
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in which the degree to which an object is outlying is dependent on the density of its local neighborhood, and each object can be assigned an LOF which represents the likelihood of
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli   +2 more
openaire   +1 more source

Filtered Clustering Based on Local Outlier Factor in Data Mining

International Journal of Database Theory and Application, 2016
In this paper, the impact of -means and local outliner factor on data set is studied. Outlier is the observation which is different from or inconsistent with the rest of the data. However, the main challenges of outlier detection are increasing complexity due to variety of datasets and size of dataset.
Vishal Bhatt, Mradul Dhakar, Brijesh Kumar Chaurasia   +2 more
openaire   +1 more source

A Novel Noise Clustering Based on Local Outlier Factor

2023
Yukihiro Hamasuna, Yoshitomo Mori
openaire   +1 more source

On the Relationship between $Λ$-poisedness in Derivative-Free Optimization and Outliers in Local Outlier Factor

Derivative-free optimization (DFO) is a method that does not require the calculation of gradients or higher-order derivatives of the objective function, making it suitable for cases where the objective function is non-differentiable or the computation of derivatives is expensive.
Zhang, Qi, Xie, Pengcheng
openaire   +1 more source

A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams

Big Data and Cognitive Computing, 2021
Raed Alsini, Omar Alghushairy, Xiaogang Ma   +2 more
exaly  

Comparison of the interquartile range algorithm and local outlier factor on Australian weather data sets

5TH INTERNATIONAL CONFERENCE ON INNOVATIVE DESIGN, ANALYSIS & DEVELOPMENT PRACTICES IN AEROSPACE & AUTOMOTIVE ENGINEERING: I-DAD’22, 2023
Fredianto, Devi Afriyantari Puspa Putri
semanticscholar   +1 more source

Distributed filtering algorithm based on local outlier factor under data integrity attacks

Journal of the Franklin Institute, 2023
Y. Luo, Yun Liu, Wen Yang, Jiayu Zhou, Tao Lv   +4 more
semanticscholar   +1 more source

ANOMALY DETECTION WITH LOCAL OUTLIER FACTOR

2023
CHENG XI, YE ZICHUAN, LIN PENG, LIU JIASHANG, HORMATI AMIR, DENG MINGGE   +5 more
openaire   +2 more sources

Research on voltage inconsistency diagnosis of power battery based on PSO-VMD-improved local outlier factor

Energy
Meng Li, Jichao Hong, Yanhua Shen, Fei Ma, Fengwei Liang, Lei Zhang, Jiaqi Pei, Yulong Qiu, Jingsong Yang, Qian Xu, Facheng Wang   +10 more
semanticscholar   +1 more source