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- W3140100581 abstract "Conformance checking is an important aspect of process mining that identifies the differences between the behaviors recorded in a log and those exhibited by an associated process model. Machine learning and deep learning methods perform extremely well in sequence analysis. We successfully apply both a Recurrent Neural Network and a Random Forest classifiers to the problem of evaluating whether the alignment cost of a log trace to a process model is below an arbitrary threshold, and provide a lower bound for the fitness of the process model based on the classification." @default.
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- W3140100581 date "2021-01-01" @default.
- W3140100581 modified "2023-10-11" @default.
- W3140100581 title "An Alignment Cost-Based Classification of Log Traces Using Machine-Learning" @default.
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- W3140100581 doi "https://doi.org/10.1007/978-3-030-72693-5_11" @default.
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