Search results for "Benford's law"

showing 4 items of 4 documents

Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case.

2017

Abstract Objectives This paper is based on the analysis of the database of operations from a macro-case on money laundering orchestrated between a core company and a group of its suppliers, 26 of which had already been identified by the police as fraudulent companies. In the face of a well-founded suspicion that more companies have perpetrated criminal acts and in order to make better use of what are very limited police resources, we aim to construct a tool to detect money laundering criminals. Methods We combine Benford’s Law and machine learning algorithms (logistic regression, decision trees, neural networks, and random forests) to find patterns of money laundering criminals in the conte…

Actuarial scienceScrutinyArtificial neural networkComputer sciencebusiness.industryDecision treeContext (language use)02 engineering and technologySpace (commercial competition)Money launderingComputer securitycomputer.software_genreMachine learning01 natural sciencesPathology and Forensic MedicineBenford's law010104 statistics & probabilityOrder (business)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematicsbusinessLawcomputerForensic science international
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Double precision errors in the logistic map: statistical study and dynamical interpretation.

2007

The nature of the round-off errors that occur in the usual double precision computation of the logistic map is studied in detail. Different iterative regimes from the whole panoply of behaviors exhibited in the bifurcation diagram are examined, histograms of errors in trajectories given, and for the case of fully developed chaos an explicit formula is found. It is shown that the statistics of the largest double precision error as a function of the map parameter is characterized by jumps whose location is determined by certain boundary crossings in the bifurcation diagram. Both jumps and locations seem to present geometric convergence characterized by the two first Feigenbaum constants. Even…

Benford's lawComputationBoundary (topology)Feigenbaum constantsFunction (mathematics)Statistical physicsLogistic mapBifurcation diagramBifurcationMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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RISQUE ASSOCIE A L'UTILISATION DE LA LOI DE BENFORD POUR DETECTER DES VENTES FRAUDULEUSES DE BIENS INNOVANTS A LA MODE

2010

Benford's law has been promoted as providing the auditors with a turnkey solution for fraud detection. The purpose of this paper is to show it is not always possible to detect fraudulent sales with that law. We use sales in volume of game consoles in Japan (since 1989), in United-States, in France, in Germany and in United-Kingdom (since 2000). After reviewing briefly the literature and our study design, the chi-square test and the bias analysis were used to measure the goodness-of-fit to Benford's law. Despite the absence of actual fraud, these sale series of fashion goods are not significantly in conformity with Benford's law. Thus, for the detection of fraudulent sales in this sector, th…

Benford's lawfashion salesdetection of fraudnon-linear dynamical system.Loi de Benfordventes de biens à la modedétection de fraudesauditsystème dynamique non-linéairenon-linear dynamical system.[SHS.GESTION]Humanities and Social Sciences/Business administrationfashion salesdetection of fraudauditsystème dynamique non-linéaire[SHS.GESTION] Humanities and Social Sciences/Business administrationBenford's law[ SHS.GESTION ] Humanities and Social Sciences/Business administrationventes de biens à la modeLoi de Benforddétection de fraudes
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Benford's Law for economic data reliability: The case of tourism flows in Sicily

2023

This paper proposes a data science approach based on Benford's Law to analyse tourist flows – being tourism a relevant economic sector in Sicily. In particular, we are interested in detecting irregular patterns in the numerical data that may represent manipulations, inaccuracies or biases in the self-reported data from tourism organisations. The analysis is carried out by using monthly data for arrivals and overnight stays in hotels, B&Bs, and complementary accommodations in the seven provinces of the island from January 2016 to December 2019. We perform the analysis by employing several statistical tests and through a visual inspection of the difference between the empirical distributi…

Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Tourism flowBenford's LawSicilyData science
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