Search Results for author: Abel Armas-Cervantes

Found 4 papers, 2 papers with code

Generalization in Automated Process Discovery: A Framework based on Event Log Patterns

1 code implementation26 Mar 2022 Daniel Reißner, Abel Armas-Cervantes, Marcello La Rosa

We address these shortcomings by proposing a framework of measures that generalize a set of patterns discovered from an event log with representative traces and check the corresponding control-flow structures in the process model via their trace alignment.

Efficient Conformance Checking using Approximate Alignment Computation with Tandem Repeats

1 code implementation2 Apr 2020 Daniel Reißner, Abel Armas-Cervantes, Marcello La Rosa

Alignments are an established technique to compute the distance between a trace in the event log and the closest execution trace of a corresponding process model.

Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components

no code implementations22 Oct 2019 Daniel Reißner, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa

To address this limitation, the paper proposes a second technique wherein the process model is first decomposed into a set of automata, known as S-components, such that the product of these automata is equal to the automaton of the whole process model.

Software Engineering

Discovering Process Maps from Event Streams

no code implementations8 Apr 2018 Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa, Fabrizio M. Maggi

Given an event stream produced by the execution of a business process, the goal of an online process discovery method is to maintain a continuously updated model of the process with a bounded amount of memory while at the same time achieving similar accuracy as offline methods.

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