Novelty detection for time series data analysis in water distribution systems using support vector machines

Earth & Environmental Sciences

• water distribution system 84%
• support vector machine 72%
• data analysis 61%
• time series 51%
• detection 43%
• anomaly 20%
• information source 17%
• outlier 15%
• machine learning 14%
• nonlinearity 14%
• water flow 12%
• learning 12%
• decision 9%
• methodology 8%
• sampling 8%
• method 3%

Engineering & Materials Science

• Water distribution systems 100%
• Time series 64%
• Support vector machines 59%
• Support vector regression 43%
• Anomaly detection 38%
• Automatic identification 22%
• Machine learning 13%
• Sampling 13%
• Water 10%