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Degree of Accuracy in Credit Card Fraud Detection Using Local Outlier Factor and Isolation Forest Algorithm

2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2022
In this era of digitalization where everyone prefers online-based transactional activities, this increases the demand for a credit card, the fraudulent cases are increasing day by day which causes tremendous loss to an individual.
Kanishka Negi   +4 more
openaire   +2 more sources

Performance Enhancement of Unsupervised Hardware Trojan Detection Algorithm using Clustering-based Local Outlier Factor Technique for Design Security

2022 IEEE International Test Conference India (ITC India), 2022
Internet of Things (IoT) has become extremely prominent for industrial applications and stealthy modification deliberately done by insertion of Hardware Trojans has increased widely due to globalization of Integrated Circuit (IC) production.
S. Meenakshi, Nirmala Devi M
openaire   +2 more sources

Time Alignment Method for Wide-area Measurement Data Based On Local Outlier Factor Algorithm

2025 IEEE Kiel PowerTech
The timestamp shift exists in the data collection of wide-area measurement system. This paper presents an integrated time alignment method that includes the detection of data with timestamp shift and the corresponding alignment process. Firstly, the data
Nibijiang Aili   +4 more
openaire   +2 more sources

Real-time chatter detection and automatic suppression for intelligent spindles based on wavelet packet energy entropy and local outlier factor algorithm

The International Journal of Advanced Manufacturing Technology, 2019
In this research, we proposed a real-time chatter detection and suppression module for intelligent spindle to increase machining efficiency and processing yield. For early detections of chatters, the relative wavelet packet energy entropy with high sensitivity in the high-frequency band and the local outlier factor (LOF) algorithm were utilized as ...
Yung-Chen Yao   +3 more
openaire   +2 more sources

Active Semi-supervised Affinity Propagation Clustering Algorithm Based on Local Outlier Factor

2018 37th Chinese Control Conference (CCC), 2018
Clustering algorithm can reveal the inherent properties and laws of data through the learning of unlabeled data. However, interference data exists in some fields of different data forms, and the clustering will reduce the credibility of clustering results without processing data.
Lei Qi, Li Ting
openaire   +2 more sources

Social density detection for suckling piglets based on convolutional neural network combined with local outlier factor algorithm

Computers and Electronics in Agriculture, 2022
Qi-an Ding   +5 more
openaire   +2 more sources

A Comparative Study of Local Outlier Factor Algorithms for Outliers Detection in Data Streams

2018
Outlier detection analyzes data, finds out anomalies, and helps to discover unforeseen activities in safety crucial systems. Outlier detection helps in early prediction of various fraudulent activities like credit card theft, fake insurance claim, tax stealing, real-time monitoring, medical systems, online transactions, and many more.
Supriya Mishra, Meenu Chawla
openaire   +1 more source

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