Incremental collusive fraud detection in large-scale online auction networks
Authors:
- 25 January 2020
- journal article
- research article
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 76 (9) , 7416-7437
Abstract
No abstract availableKeywords
This publication has 33 references indexed in Scilit:
- Detecting online auction shilling frauds using supervised learningExpert Systems with Applications, 2014
- Finding the needle: A risk-based ranking of product listings at online auction sites for non-delivery fraud predictionExpert Systems with Applications, 2013
- Fuzzy rule optimization for online auction frauds detection based on genetic algorithmElectronic Commerce Research, 2013
- An effective early fraud detection method for online auctionsElectronic Commerce Research and Applications, 2012
- Internet auction fraud: The evolving nature of online auctions criminality and the mitigating framework to address the threatInternational Journal of Law, Crime and Justice, 2011
- Reputation inflation detection in a Chinese C2C marketElectronic Commerce Research and Applications, 2011
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Fraud detection in reputation systems in e-markets using logistic regression and stepwise optimizationACM SIGAPP Applied Computing Review, 2010
- Clustering of sparse data via network communities—a prototype study of a large online marketJournal of Statistical Mechanics: Theory and Experiment, 2007
- Estimating the Support of a High-Dimensional DistributionNeural Computation, 2001