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dc.contributor.author Ghatak, Shounak
dc.contributor.author Chakraborty, Tanmoy (Advisor)
dc.date.accessioned 2023-04-15T10:40:51Z
dc.date.available 2023-04-15T10:40:51Z
dc.date.issued 2022-12
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1178
dc.description.abstract In today’s e-commerce setting, it is becoming easier to commit fraud & escape undetected. In this thesis, we investigate the return to origin (RTO) problem. The aim is to build a robust model to label orders with an RTO risk the moment they are created. We explore various types of models here. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject RTO en_US
dc.subject Fraud en_US
dc.subject E-commerce en_US
dc.title Social network analysis en_US


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