Data anomaly detection in wireless sensor networks with application to an oil refinery

Mathematics

• Anomaly Detection 100%
• Data Streams 45%
• Evaluate 25%
• Gaussian Kernel 86%
• Learning 29%
• Least Squares Support Vector Machine 52%
• Non-stationary Time Series 45%
• Outlier 31%
• Performance 19%
• Scenarios 29%
• Sliding Window 48%
• Standards 35%
• Testbed 46%
• Wireless Sensor Networks 95%

Engineering & Materials Science

• Anomaly detection 66%
• Data streams 32%
• Oils 41%
• Support vector machines 25%
• Time series 27%
• Wireless sensor networks 50%