Results 1 to 10 of about 48,813 (257)

Outlier Ensemble Based on Isolation Forest: The CBOEA Approach

Foundations of Computing and Decision Sciences
Outliers are instances that deviate from the norm. In certain fields, their detection is crucial since they are often indicators of interesting events such as system faults and deliberate human actions.
Chaabouni Ali, Boujelben Mohamed Ayman
doaj   +1 more source

Distribution-Aligned Sequential Counterfactual Explanation with Local Outlier Factor

Distribution-aligned Sequential Counterfactual Explanation with Local Outlier Factor
identifier:oai:t2r2.star.titech.ac.jp ...
Shoki Yamao, Ken Kobayashi, Kentaro Kanamori, Takuya Takagi, Yuichi Ike, Kazuhide Nakata   +5 more
openaire   +2 more sources

Detection of Impedance Inhomogeneity in Lithium-Ion Battery Packs Based on Local Outlier Factor

Energies
The inhomogeneity between cells is the main cause of failure and thermal runaway in Lithium-ion battery packs. Electrochemical Impedance Spectroscopy (EIS) is a non-destructive testing technique that can map the complex reaction processes inside the ...
Lijun Zhu, Jian Wang, Yutao Wang, Bin Pan, Lujun Wang   +4 more
doaj   +1 more source

Adaptive threshold based outlier detection on IoT sensor data: A node-level perspective

Alexandria Engineering Journal
The accuracy and reliability of IoT-based sensor networks depend on validating sensed data, including detecting outliers at the node level. This study proposes an online outlier detection approach using Multiple Linear Regression-based adaptive ...
M. Veera Brahmam, S. Gopikrishnan
doaj   +1 more source

Sysmon event logs for machine learning-based malware detection

Cyber Security and Applications
Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods.
Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan   +3 more
doaj   +1 more source

Optimasi Algoritma K-Nearest Neighbors Berdasarkan Perbandingan Analisis Outlier (Berbasis Jarak, Kepadatan, LOF)

Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Pertumbuhan data yang terjadi saat ini berpengaruh terhadap analisis data di berbagai bidang, seperti astronomi, bisnis, kedokteran, pendidikan, dan finansial.
Fitri Ayuning Tyas, Mahda Nurayuni, Hidayatur Rakhmawati   +2 more
doaj   +1 more source

Anomaly detection using unsupervised machine learning algorithms: A simulation study

Scientific African
This study presents a comprehensive evaluation of five prominent unsupervised machine learning anomaly detection algorithms: One-Class Support Vector Machine (One-Class SVM), One-Class SVM with Stochastic Gradient Descent (SGD), Isolation Forest (iForest)
Edmund Fosu Agyemang
doaj   +1 more source

Density-based Outlier Detection by Local Outlier Factor on Largescale Traffic Data

Electronic Imaging, 2016
Mathew X. Ma, Henry Y. T. Ngan, Wei Liu 0001   +2 more
openaire   +1 more source

Detección no supervisada de anomalías en sistemas fotovoltaicos mediante adaptación del modelo Lee-Carter

Investigación e Innovación en Ingenierías
Objetivo: Detectar comportamientos anómalos en paneles solares fotovoltaicos mediante la adaptación del modelo Lee-Carter y el uso de técnicas de detección no supervisada.
Diego Isaac Burgos Miranda, Daniela Andrea Aguirre Trejos, Roberto José Herrera Acosta   +2 more
doaj   +1 more source

A User-Adaptive Algorithm for Activity Recognition Based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution. [PDF]

Sensors (Basel), 2018
Zhao S, Li W, Cao J.
europepmc   +1 more source