Research interests & CV
Please see my LinkedIn profile
Contact
vinicius.almendra *at* gmail.com
Recent publications
- Almendra, V. 2013. Finding the needle: a risk-based ranking of product listings at online auction sites for non-delivery fraud prediction. Expert Systems with Application, doi: 10.1016/j.eswa.2013.02.027. Preprint PDF
- Almendra, V. 2012. A Comprehensive Analysis of Nondelivery Fraud at a Major Online Auction Site. Journal of Internet Commerce, 11:4, 309-328. doi: 10.1080/15332861.2012.729469. Free copies available under request, please email me.
- Almendra, V., and Enachescu, D. 2012. A Fraudster in a Haystack: Crafting a Classifier for Non-delivery Fraud Prediction at Online Auction Sites In 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2012). Timisoara, Romania. doi: 10.1109/SYNASC.2012.21. Preprint PDF
- Almendra, Vinicius, and Denis Enachescu. 2011. A Supervised Learning Process to Elicit Fraud Cases in Online Auction Sites. In Proceedings of the 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2011), 168–174. Timisoara, Romania: IEEE Computer Society. doi:10.1109/SYNASC.2011.15
- Almendra, Vinicius, and Bianca Roman. 2011. Using Exploratory Data Analysis for Fraud Elicitation Through Supervised Learning. In 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2011). Timisoara, Romania. doi:10.1109/SYNASC.2011.35.
- Almendra, Vinicius, and Daniel Schwabe. 2009. Fraud Detection by Human Agents: A Pilot Study. In Proceedings of the 10th International Conference on E-Commerce and Web Technologies, 300–311. Linz, Austria: Springer-Verlag. http://portal.acm.org/citation.cfm?id=1612008.
- Almendra, Vinicius, and Daniel Schwabe. 2009. Analysis of Fraudulent Activity in a Brazilian Auction Site. In Proceedings of the 16th International Conference on World Wide Web, Latin American Alternate Track. WWW 2009. Madrid, Spain.
dataset.csv | |
File Size: | 74 kb |
File Type: | csv |