%0 Journal Article %1 journals/expert/ChiLLXL21 %A Chi, Haixiao %A Lu, Yiwei %A Liao, Beishui %A Xu, Liaosa %A Liu, Yaqi %D 2021 %J IEEE Intell. Syst. %K dblp %N 2 %P 52-63 %T An Optimized Quantitative Argumentation Debate Model for Fraud Detection in E-Commerce Transactions. %U http://dblp.uni-trier.de/db/journals/expert/expert36.html#ChiLLXL21 %V 36

@article{journals/expert/ChiLLXL21, added-at = {2021-06-01T00:00:00.000+0200}, author = {Chi, Haixiao and Lu, Yiwei and Liao, Beishui and Xu, Liaosa and Liu, Yaqi}, biburl = {https://www.bibsonomy.org/bibtex/204c065bb3393f3439991f4a7fd272103/dblp}, ee = {https://doi.org/10.1109/MIS.2021.3071751}, interhash = {3e32ca2fa00231b8e3e8c884dd12b0f3}, intrahash = {04c065bb3393f3439991f4a7fd272103}, journal = {IEEE Intell. Syst.}, keywords = {dblp}, number = 2, pages = {52-63}, timestamp = {2024-04-09T05:39:46.000+0200}, title = {An Optimized Quantitative Argumentation Debate Model for Fraud Detection in E-Commerce Transactions.}, url = {http://dblp.uni-trier.de/db/journals/expert/expert36.html#ChiLLXL21}, volume = 36, year = 2021 }