Anomaly Detection based on GS-OCSVM Classification

Author:

Kittidachanan Kittikun,Minsan Watha,Pornnopparath Donlapark,Taninpong Phimphaka

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A soft sensor edge-based approach to fault diagnosis for piping systems;Flow Measurement and Instrumentation;2024-07

2. Fraud & Anomaly Detection: Using Fine-tuned OCSVM Algorithm and visualization of the enhanced results using Machine Learning Techniques;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

3. Anomaly Detection Classifiers for Detecting Credit Card Fraudulent Transactions;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

4. An improved PIO feature selection algorithm for IoT network intrusion detection system based on ensemble learning;Expert Systems with Applications;2023-03

5. A comparative study on outlier detection techniques for noisy production data from unconventional shale reservoirs;Journal of Natural Gas Science and Engineering;2022-09

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