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Automatic Detection of Age-Related Macular Degeneration Based on Deep Learning and Local Outlier Factor Algorithm [PDF]
Diagnostics, 2022 Age-related macular degeneration (AMD) is a retinal disorder affecting the elderly, and society’s aging population means that the disease is becoming increasingly prevalent. The vision in patients with early AMD is usually unaffected or nearly normal but
Tingting He, Qiaoer Zhou, Yuanwen Zou
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Outlier detection algorithm based on k-nearest neighbors-local outlier factor
Journal of Algorithms & Computational Technology, 2022 The main task of outlier detection is to detect data objects which have a different mechanism from the conventional data set. The existing outlier detection methods are mainly divided into two directions: local outliers and global outliers. Aiming at the
He Xu, Lin Zhang, Peng Li, Feng Zhu
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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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Jurnal Lebesgue, 2023 Indonesia's location on the "Ring of Fire" poses a high risk for seismic events. Addressing this, our study applied the Local Outlier Factor (LOF) algorithm for advanced seismic anomaly detection, crucial for geotectonic upheaval prediction.
Gregorius Airlangga
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IEEE AccessIn today’s interconnected world, cybersecurity has emerged as a critical domain for ensuring the integrity, confidentiality, and availability of digital assets.
Taher Ali Al-Shehari +6 more
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Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network [PDF]
Scientific ReportsIntrusion detection systems (IDS) are critical for safeguarding computer networks by identifying malicious activities. However, distinguishing attacks in IDSs with high accuracy is challenging.
Rahimullah Rabih +3 more
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A User-Adaptive Algorithm for Activity Recognition Based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution [PDF]
Sensors, 2018 Mobile activity recognition is significant to the development of human-centric pervasive applications including elderly care, personalized recommendations, etc. Nevertheless, the distribution of inertial sensor data can be influenced to a great extent by
Shizhen Zhao, Wenfeng Li, Jingjing Cao
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A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams [PDF]
Big Data and Cognitive Computing, 2020 Outlier detection is a statistical procedure that aims to find suspicious events or items that are different from the normal form of a dataset. It has drawn considerable interest in the field of data mining and machine learning.
Omar Alghushairy +3 more
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Application of Local Outlier Factor Algorithm to Detect Anomalies in Computer Network
Elektronika ir Elektrotechnika, 2018 Gap between the new attack appearance and signature creation for this attack may be critical. During this time, many computer systems may be affected and valuable resources may be lost. Even after signature creation, many computer systems still stay vulnerable because of bad security practice, i.e.
Auškalnis, Juozas +2 more
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International Journal of Computer Applications, 2021 The increased use of real-time water quality monitoring using automated systems with sensors demands and makes it possible to identify unexpected values in time.
Henry Kiragu +2 more
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