RetSim: A ShoeStore Agent-Based Simulation for Fraud Detection
2013 (English)In: 25th European Modeling and Simulation Symposium, EMSS 2013, 2013, 25-34 p.Conference paper (Refereed)
RetSim is an agent-based simulator of a shoe store basedon the transactional data of one of the largest retail shoesellers in Sweden. The aim of RetSim is the generationof 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 forRetSim to be usable to model relevant scenarios to gen-erate realistic data sets that can be used by academia, andothers, to develop and reason about fraud detection meth-ods without leaking any sensitive information about theunderlying data. Synthetic data has the added benefit ofbeing easier to acquire, faster and at less cost, for exper-imentation even for those that have access to their owndata. We argue that RetSim generates data that usefullyapproximates the relevant aspects of the real data.
Place, publisher, year, edition, pages
2013. 25-34 p.
Multi-Agent Based Simulation, Retail Store, Fraud Detection, Synthetic Data.
IdentifiersURN: urn:nbn:se:bth-12929ISBN: 9788897999225OAI: oai:DiVA.org:bth-12929DiVA: diva2:954139
25th European Modeling and Simulation Symposium, EMSS 2013; Athens; Greece