Anomaly Detection for Water Supply Data using Machine Learning Technique

[1]  Pavol Sokol,et al.  Network Intrusion Detection with Threat Agent Profiling , 2018, Secur. Commun. Networks.

[2]  Abdul Nurunnabi,et al.  Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data , 2015, Pattern Recognit..

[3]  Bernhard Schölkopf,et al.  Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.

[4]  Irene Epifanio,et al.  Detection of Anomalies in Water Networks by Functional Data Analysis , 2018, Mathematical Problems in Engineering.

[5]  Simin Nadjm-Tehrani,et al.  Anomaly Detection in Water Management Systems , 2012, Critical Infrastructure Protection.

[6]  Giuseppe Lo Re,et al.  Adaptive Distributed Outlier Detection for WSNs , 2015, IEEE Transactions on Cybernetics.

[7]  Thomas S. Huang,et al.  One-class SVM for learning in image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[8]  Feng Xia,et al.  LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data , 2017, World Wide Web.