Document Type
Article
Language
eng
Publication Date
2012
Publisher
Elsevier
Source Publication
Procedia Computer Science
Source ISSN
1877-0509
Abstract
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.
Recommended Citation
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.
https://epublications.marquette.edu/mscs_fac/584
Comments
Published version. Procedia Computer Science, Vol. 12 (2012): 218-223. DOI. © 2012 Elsevier. Used with permission.