An Abnormal Event Classification Model for Big Data Platforms Based on Semi-supervised Learning
Author:
Affiliation:
1. Fuzhou University,College of Computer and Data Science,Fuzhou,China
2. Fujian Big Data Group Co., Ltd.,Fuzhou,China
Funder
Natural Science Foundation of Fujian Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10423279/10423280/10423326.pdf?arnumber=10423326
Reference10 articles.
1. A Fully Streaming Big Data Framework for Cyber Security Based on Optimized Deep Learning Algorithm
2. Interpretability-Aware Industrial Anomaly Detection Using Autoencoders
3. TransSentLog: Interpretable Anomaly Detection Using Transformer and Sentiment Analysis on Individual Log Event
4. A novel anomaly detection approach based on ensemble semi-supervised active learning (ADESSA)
5. Anomaly Intrusion Detection for Evolving Data Stream Based on Semi-supervised Learning
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