Procedia Computer Science
This paper discusses a method of modeling temporal pattern and event detection based on Hidden Markov Model (HMM) for a continuous time series data. We also provide methods for checking model adequacy and predicting future events. These methods are applied to a real example of sludge bulking data for detecting sludge bulking for a water plant in Chicago.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Bansal, Naveen K.; Feng, Xin; Zhang, Wenjing; Wi, Wutao; and Zhao, Yuanhao, "Modeling Temporal Pattern and Event Detection using Hidden Markov Model with Application to a Sludge Bulking Data" (2012). Mathematics, Statistics and Computer Science Faculty Research and Publications. 584.