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Data mining to detect and prevent corruption in contracts: Systematic mapping review

Abstract:

Corruption according to the UN is present in various forms and types, affecting the realization of public and private contracts; in this context, a systematic mapping of scientific publications (2015-2019) is development, focused on contract corruption in its several forms, applying data mining and related techniques. Six research questions are presented to answer the analysis of 147 articles obtained from WoS and Scopus databases. The detection of fraud, financial fraud and corruption predominate in the researchs, exceling as forms of corruption, fraud (72.72%) and the overprice (8.84%). Researchs have been conducted in the United States (16.32%), China (10.88%) and the United Kingdom (8.94%); in Latin America emerge Brazil (3.4%) with minimum contributions from Colombia and Paraguay.