2026-05-05T03:42:49.794Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:6312 2018-10-27T11:13:03Z 1

Fleet Maintenance: Use of Data Mining and Statistics in Fraud Prevention 2014 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/6312 http://naucniskup.sinergija.edu.ba/wp-content/uploads/2017/02/Zbornik-2014.pdf M. Dobrojević In fleet management and maintenance domain, embezzlement, fraud or theft, whether involving fuel, lubricants, parts or units misuse, are significant problems. ERP systems and embedded vehicle tracking systems, hardware and software, which are getting very complex and in some cases over engineered, generate tremendous quantities of data, well beyond human ability to extract or understand given information. On the other hand, there is no universal procedure which would be reliable, simple and precise, yet applicable to every company and fleet structure. All this makes difficult to detect and prevent fleet related white-collar crime, and calls for use of intelligent data extraction and statistical analysis methods in fleet management and maitenance software. conferenceObject 219 222 Sinergija 2014: Privredni kriminalitet i savremeno poslovanje