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Extending Sequential Pattern Mining Patterns with Choices, Loops, and Parallelism
Date: May 06, 2017 12:06PM
Local Process Model mining is a recent technique to mine frequent patterns from sequence data where the patterns take the form of process models. The mined patterns, in addition to sequential constructs, support choices (inclusive and exclusive), loops, and parallel execution.
For details, see the following two papers:
An implementation of the technique is available as part of the process mining toolkit ProM, at: