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ProM alternatives
ProM is a process mining framework that automatically identifies business processes from event logs and then analyses them in various ways. It facilitates the integration of different process mining techniques in a single framework. It includes several new contributions: combining two recent process mining techniques called k-means clustering and agent-based simulation; creating a consistency measure between events from different process mining techniques, and demonstrating how to use the framework for process improvement.
Specifically, it provides a way to execute process models during execution, and process mining tools can apply automatic process mining techniques to the trace model. The framework also offers a flexible and extensible set of rules that allows the users to customize it for their specific analysis needs.
Automated analyses can be extended by adding custom analysis tasks. It is now possible to build on the ProM architecture through plugins, which are small code modules with APIs that can be plugged in to support specific analyses. The framework supports the different aspects of process mining including the generation and interpretation of process models. It facilitates process mining in practice, including the collection of trace data and the generation of trace models.




































