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 |