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This study presents the identification of fraud with support from process mining. The objective is to identify the evolution of scientific production related to the application of process mining in the identification of fraud, through bibliometric analysis in the database Scopus, Web of Science and Ebsco. The research is exploratory, with a quantitative approach, and collection of information from bibliographic research, with subsequent bibliometric analysis. The search resulted in 35 articles published in periodicals and conference proceedings, distributed in 28 sources, being the first publication in 2005. The years 2017 and 2018 obtained the highest number of publications. Researchers from Indonesia presented the highest scientific contribution in the period, followed by Italy and Holland, with Brazil appears in the 5th position. The keywords that demonstrated the main methods applied in mining: genetic algorithms, clustering rules and association rules. The use of the open source tool ProM is identified in several articles, being used in process mining.



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