<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Vladimir Zaslavsky</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">System principles, mathematical models and methods to ensure high reliability of safety systems</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. SPIE 10418, XI Conference on Reconnaissance and Electronic Warfare Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">20 April 2017</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Vladimir Zaslavsky</style></author><author><style face="normal" font="default" size="100%">Anna Strizhak</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Credit Card Fraud Detection Using Self-Organizing Maps</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Fraud Detection</style></keyword><keyword><style  face="normal" font="default" size="100%">Payment System</style></keyword><keyword><style  face="normal" font="default" size="100%">Self Organizing Map</style></keyword><keyword><style  face="normal" font="default" size="100%">Transaction</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">18</style></volume><pages><style face="normal" font="default" size="100%">48-63</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Nowadays, credit card fraud detection is of great importance to financial institutions. This article presents an automated credit card fraud detection system based on the neural network technology. The authors apply the Self-Organizing Map algorithm to create a model of typical cardholder’s behavior and to analyze the deviation of transactions, thus finding suspicious transactions.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><secondary-authors><author><style face="normal" font="default" size="100%">Vladimir Zaslavsky</style></author><author><style face="normal" font="default" size="100%">Emmanuel Greindl</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Information Technology Contribution to the Building of a Safe Regional Environment</style></title><secondary-title><style face="normal" font="default" size="100%">AFCEA</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1998</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1998</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Kiev</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>