A Comprehensive Analysis of Nondelivery Fraud at a Major Online Auction Site

Author:

Almendra Vinicius

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Human-Computer Interaction

Reference23 articles.

1. Almendra , V. 2011 . Using data mining to support research on fraud. InAnnals of the University of Bucharest, ed. M. Solomon, 99–120. Bucharest, Romania: University of Bucharest, Mathematics and Computer Science.

2. Almendra , V. , and D. Enăchescu . 2011 . A supervised learning process to elicit fraud cases in online auction sites. InProceedings 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.

3. Almendra , V. , and D. Schwabe . 2009 . Analysis of fraudulent activity in a Brazilian auction site. Presented at the 16th International Conference on World Wide Web, Latin American Alternate Track, WWW 2009, Madrid, Spain. http://www2009.org/pdf/submissions/wwwiberoamerica09_submission_7.pdf.

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1. Occurrences of online fraud complaints: 2002 through 2015;International Journal of Accounting & Information Management;2017-10-02

2. Financial and other frauds in the United States: a panel analysis approach;International Journal of Accounting & Information Management;2017-10-02

3. The Behaviour of Inexperienced Buyers in Buy-It-Now Online Auctions;Selected Issues in Experimental Economics;2016

4. Finding the needle: A risk-based ranking of product listings at online auction sites for non-delivery fraud prediction;EXPERT SYST APPL;2013

5. Using Self-Organizing Maps for Fraud Prediction at Online Auction Sites;2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing;2013-09

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