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Local density one-class support vector machines for anomaly detection
Nonlinear Dynamics
◽
10.1007/s11071-010-9851-y
◽
2010
◽
Vol 64
(1-2)
◽
pp. 127-130
◽
Cited By ~ 8
Author(s):
Jiang Tian
◽
Hong Gu
◽
Chiyang Gao
◽
Jie Lian
Keyword(s):
Support Vector Machines
◽
Anomaly Detection
◽
Local Density
◽
Support Vector
◽
Vector Machines
Download Full-text
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2006 6th World Congress on Intelligent Control and Automation
◽
10.1109/wcica.2006.1712831
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2006
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Cited By ~ 7
Author(s):
Xueqin Zhang
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Chunhua Gu
◽
Jiajun Lin
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Anomaly Detection in Satellite Communications Networks using Support Vector Machines
33rd AIAA International Communications Satellite Systems Conference and Exhibition
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10.2514/6.2015-4321
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2015
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Cited By ~ 1
Author(s):
Edward Arbon
◽
Peter Smet
Keyword(s):
Support Vector Machines
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Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application
Advances in Intelligent Systems and Computing - International Joint Conference SOCO’14-CISIS’14-ICEUTE’14
◽
10.1007/978-3-319-07995-0_27
◽
2014
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pp. 269-278
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Cited By ~ 1
Author(s):
Luis Martí
◽
Nayat Sanchez-Pi
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José Manuel Molina
◽
Ana Cristina Bicharra García
Keyword(s):
Support Vector Machines
◽
Anomaly Detection
◽
Petroleum Industry
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Support Vector
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Vector Machines
◽
Segmentation Algorithms
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Anomaly Detection Using Support Vector Machines
Advances in Neural Networks – ISNN 2004 - Lecture Notes in Computer Science
◽
10.1007/978-3-540-28647-9_97
◽
2004
◽
pp. 592-597
◽
Cited By ~ 4
Author(s):
Shengfeng Tian
◽
Jian Yu
◽
Chuanhuan Yin
Keyword(s):
Support Vector Machines
◽
Anomaly Detection
◽
Support Vector
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Vector Machines
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Anomaly Detection in Vessel Tracking Using Support Vector Machines (SVMs)
2013 International Conference on Advanced Computer Science Applications and Technologies
◽
10.1109/acsat.2013.49
◽
2013
◽
Cited By ~ 7
Author(s):
Dini Oktarina Dwi Handayani
◽
Wahju Sediono
◽
Asadullah Shah
Keyword(s):
Support Vector Machines
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Anomaly Detection
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Support Vector
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Vessel Tracking
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Anomaly Detection in Time Series Data Using Support Vector Machines
Proceedings of International Conference on Artificial Life and Robotics
◽
10.5954/icarob.2021.gs4-2
◽
2021
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Vol 26
◽
pp. 581-587
Author(s):
Umaporn Yokkampon
◽
Sakmongkon Chumkamon
◽
Abbe Mowshowitz
◽
Eiji Hayashi
Keyword(s):
Time Series
◽
Support Vector Machines
◽
Anomaly Detection
◽
Time Series Data
◽
Series Data
◽
Support Vector
◽
Vector Machines
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Anomaly detection in earth dam and levee passive seismic data using support vector machines and automatic feature selection
Journal of Computational Science
◽
10.1016/j.jocs.2016.11.016
◽
2017
◽
Vol 20
◽
pp. 143-153
◽
Cited By ~ 27
Author(s):
Wendy D. Fisher
◽
Tracy K. Camp
◽
Valeria V. Krzhizhanovskaya
Keyword(s):
Feature Selection
◽
Support Vector Machines
◽
Anomaly Detection
◽
Seismic Data
◽
Earth Dam
◽
Support Vector
◽
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◽
Passive Seismic
◽
Automatic Feature Selection
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Incorporating User Feedback Into One-Class Support Vector Machines for Anomaly Detection
2020 28th European Signal Processing Conference (EUSIPCO)
◽
10.23919/eusipco47968.2020.9287325
◽
2021
◽
Author(s):
Julien Lesouple
◽
Jean-Yves Tourneret
Keyword(s):
Support Vector Machines
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Anomaly Detection
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Enhancing one-class support vector machines for unsupervised anomaly detection
Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description - ODD '13
◽
10.1145/2500853.2500857
◽
2013
◽
Cited By ~ 85
Author(s):
Mennatallah Amer
◽
Markus Goldstein
◽
Slim Abdennadher
Keyword(s):
Support Vector Machines
◽
Anomaly Detection
◽
Support Vector
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Unsupervised Anomaly Detection
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Data driven hyperparameter optimization of one-class support vector machines for anomaly detection in wireless sensor networks
2017 International Conference on Advanced Technologies for Communications (ATC)
◽
10.1109/atc.2017.8167642
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2017
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Cited By ~ 5
Author(s):
Van Vuong Trinh
◽
Kim Phuc Tran
◽
Truong Thu Huong
Keyword(s):
Wireless Sensor Networks
◽
Sensor Networks
◽
Support Vector Machines
◽
Anomaly Detection
◽
Data Driven
◽
Wireless Sensor
◽
Support Vector
◽
Hyperparameter Optimization
◽
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