  EventDetectR: An efficient Event Detection System (EDS) capable of detecting
unexpected water quality conditions. This approach uses multiple algorithms to
model the relationship between various multivariate water quality signals. Then
the residuals of the models were utilized in constructing the event detection
algorithm, which provides a continuous measure of the probability of an event
at every time step. The proposed framework was tested for water contamination
events with industrial data from automated water quality sensors. The results
showed that the framework is reliable with better performance and is highly
suitable for event detection.
