Genetic Process Mining

By A. Medeiros. ICATPN, 2005

441 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/c31edaada22be2a116d52da4fa139f10b332ff65

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In Computational Theory and Mathematics

In Information Systems

In Management Information Systems

Citations in the corpus

Business process analysis in healthcare environments: A methodology based on process mining (2012, methodology): “Control-flow techniques include the α-algorithm [23], the Heuristic Miner [24], the Fuzzy Miner [25], and the Genetic Miner [26].”
Trace Clustering in Process Mining (2008, background): “discovering process models) has been limited [9, 7].”
Conformance checking of processes based on monitoring real behavior (2008, background): “The notion of conformance has also been discussed in the context of security [6], business alignment [1], and genetic mining [7] (all proposing some kind of replay).”
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2013, background): “Other approaches were designed to ignore infrequent behaviour and can produce an 80% model but may perform less on other quality criteria: genetic approaches [5,9] have long run times and a heuristic approach [20] produces unsound models.”
Automated Discovery of Process Models from Event Logs: Review and Benchmark (2017, background): “We did not include AGNEsMiner and Genetic Miner due to the very long execution times (in the order of several hours to several days as reported in [3]).”
Process mining: a two-step approach to balance between underfitting and overfitting (2008, background): “The genetic miner [3,31] may be able to discover both types of constructs correctly.”
On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012, methodology): “The main improvements with respect to [4, 14] are the internal representation and the fitness calculations.”
Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013, background): “Genetic process discovery algorithms [4,19] may reach certain quality criteria if they are allowed to run forever, but usually cannot guarantee any quality criterion given finite run time.”
Process mining with the HeuristicsMiner algorithm (2006, background): “Only a few process mining algorithms [4, 11] are able to mine them successfully.”
Towards comprehensive support for organizational mining (2008, background): “The mainstream of process mining is to discover process models from process logs [3, 51, 4, 23].”
Mining process models with non-free-choice constructs (2007, methodology): “Therefore, more heuristic approaches have been developed [55,56] and, recently, also genetic approaches have been explored and implemented [ 7 ].”
Process Mining and Verification of Properties: An Approach Based on Temporal Logic (2005, background): “The notion of conformance has also been discussed in the context of security [5], business alignment [2], and genetic mining [ 4 ].”