| Mobile money transfer systems(MMTS)are progressively becoming the standard banking system in countries with limited banking.The analysis of transactions performed on these systems helps to detect fraudulent and criminal activities.In this paper we introduce MtVis a novel visual analytics framework for mobile money transactions analysis and exploration.Our tool enables the exploratory analysis of mobile money transactions data using multiple views to reveal the temporal,geospacial and categorical aspects of the transactions.Through the process of implementing a fraud detection model for our system,we identified several challenges related to the given MMT datasets,we offer the principles used to overcome these challenges as a step towards understanding the difficult task of designing flexible and scalable fraud detection models. |
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