Process Discovery using Integer Linear Programming

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On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012, methodology): “1 we selected four well-known algorithms: the α-algorithm [5], the ILP-miner [21], the heuristics miner [19] and the genetic algorithm by Alves de Medeiros [14].”
Process mining: a two-step approach to balance between underfitting and overfitting (2008, background): “Some initial work in this direction has already been presented in [11,42].”
Automated Discovery of Process Models from Event Logs: Review and Benchmark (2017, methodology): “In [21], the authors propose an improvement of the algorithm implemented in the ILP Miner [41] whose complexity is linear on the size of the event log and exponential on the number of distinct activities.”
Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013, background): “Semantics-based techniques such as the language-based region miner [7,8], the state-based region miner [11], or the ILP miner [27] guarantee fitness but neither soundness nor rediscoverability.”