2013
EMSS 2013 Proceeding
RETSIM: A shoe store agent-based simulation for fraud detection
Authors: Edgar Alonso Lopez-Rojas, Stefan Axelsson, Dan Gorton
Abstract
RetSim is an agent-based simulator of a shoe store based on the transactional data of one of the largest retail shoe sellers in Sweden. The aim of RetSim is the generation of synthetic data that can be used for fraud detection re- search. Statistical and a Social Network Analysis (SNA) of relations between staff and customers was used to de- velop and calibrate the model. Our ultimate goal is for RetSim to be usable to model relevant scenarios to gen- erate realistic data sets that can be used by academia, and others, to develop and reason about fraud detection meth- ods without leaking any sensitive information about the underlying data. Synthetic data has the added benefit of being easier to acquire, faster and at less cost, for exper- imentation even for those that have access to their own data. We argue that RetSim generates data that usefully approximates the relevant aspects of the real data.
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