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.

Comments

Published version. Procedia Computer Science, Vol. 12 (2012): 218-223. DOI. © 2012 Elsevier. Used with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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