RETSIM: A shoe store 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 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 research. Statistical and a Social Network Analysis (SNA) of relations between staff and customers was used to develop and calibrate the model. Our ultimate goal is for RetSim to be usable to model relevant scenarios to generate realistic data sets that can be used by academia, and others, to develop and reason about fraud detection methods 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 experimentation 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.
Place, publisher, year, edition, pages
2013. 25-34 p.
Fraud detection, Multi-Agent based simulation, Retail store, Synthetic data, Agent based, Agent based simulation, Multi-agent based simulations, Sensitive informations, Transactional data, Computer simulation, Retail stores, Social networking (online), Crime
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-140018ScopusID: 2-s2.0-84886941815ISBN: 9788897999225OAI: oai:DiVA.org:kth-140018DiVA: diva2:689946
25th European Modeling and Simulation Symposium, EMSS 2013; Athens; Greece; 25 September 2013 through 27 September 2013
QC 201401222014-01-222014-01-162015-11-03Bibliographically approved