Anomaly Detection using Clustered Deep One-Class Classification

Business & Economics

• Anomaly 30%
• Anomaly Detection 100%
• Big Data 10%
• Clustering Algorithm 26%
• Deep Learning 41%
• Dimensionality 11%
• Experiment 6%
• K-means Clustering 13%
• Learning Model 45%
• Performance 3%
• Performance Improvement 10%
• Sensor 11%
• Train 9%

Engineering & Materials Science

• Anomaly detection 63%
• Big data 6%
• Clustering algorithms 12%
• Cyber Physical System 30%
• Deep learning 18%
• Experiments 2%
• K-means clustering 15%
• Security of data 6%
• Sensors 3%