User Interfaces for Process Modeling and Detection Systems
نویسنده
چکیده
User interfaces are important for process modeling and detection systems. This paper discusses the user interface design and implementation for the innovative Process Query System (PQS). Discussion focuses on the Hidden Markov Model (HMM) editor, model validation, process query types, and result visualization. A log likelihood indicator is used to evaluate and visualize the goodness of model-observation matching. A numerical method to measure the distinguishability between two HMMs is proposed and proved effective. The measurement is performed by estimating misdetection rate using the Monte Carlo simulation method. A visual HMM comparison tool using this method is implemented in the user interface.
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