KEYWORDS: Process modeling, Mining, Data modeling, Systems modeling, Standards development, Telecommunications, Stochastic processes, Lithium, Diagnostics, Data processing
Token-based replay have become a convention commonly known as a standard method for conformance checking because they are able to calculate the fitness of the model to the behavior contained in the event log. However, it does not automatically handle duplicate tasks. In the case of simultaneous enabled duplicate tasks, the token-based replay method will randomly execute duplicate tasks. If the chosen execution path is not the correct one, the replay of subsequent trajectories may be affected and the process model cannot be effectively evaluated. This research aims to solve the above problems and proposes a fitted evaluation method for duplicate tasks, which executes all possible paths in turn, and at the same time, fitly evaluates the quality of mining models that contain duplicate tasks. The experimental results show that the proposed method can provide a good reference standard for evaluating models with duplicate tasks.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.