Titlebook: Enterprise Information Systems; 22nd International C Joaquim Filipe,Micha? ?mia?ek,Slimane Hammoudi Conference proceedings 2021 Springer Na

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Mets552

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Sammon Mapping-Based Gradient Boosted Trees for Tax Crime Prediction in the City of S?o Pauloion-making. Machine Learning enhances data-driven decision-making with its predictive power. In this work, our principal motivation was to apply Machine Learning to ameliorate fiscal audit planning for S?o Paulo’s municipality. In this study, we predicted crimes against the service tax system of S?o

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Western Exceptionalism: Democracy,s between phases via a data-driven method. This paper extends the previous approach in both breadth and depth and focuses especially on making its benefits, like the demonstrated 39% savings in bandwidth, to domain experts. We propose a novel, user-friendly assistant that enables domain experts to d

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https://doi.org/10.1057/9780230286887iques in order to analyze and extract process details from image data recorded during process executions. We propose to redesign business process models considering the analysis results to ensure successful process executions. We discuss different requirements regarding the image analysis output and

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