Detecting Fraudulent Transactions in Automobile Insuace Industry Using Ensemble Models

Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/15124

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DC Field	Value	Language
dc.contributor.author	Hassan, Amira Ibrahim	-
dc.contributor.author	Supervisor, Ajith Abrahm	-
dc.date.accessioned	2017-01-09T11:14:25Z	-
dc.date.available	2017-01-09T11:14:25Z	-
dc.date.issued	2016-05-10	-
dc.identifier.citation	Hassan, Amira Ibrahim . Detecting Fraudulent Transactions in Automobile Insuace Industry Using Ensemble Models / Amira Ibrahim Hassan ; Ajith Abrahm .- Khartoum: Sudan University of Science and Technology, college of Computer science and information technology,2016 .- 150p. :ill. ;28cm .-M.Sc.	en_US
dc.identifier.uri	http://repository.sustech.edu/handle/123456789/15124	-
dc.description	Thesis	en_US
dc.description.abstract	Detection of fraudulent claims has become high priority and technology Iaden for insurers This was not always so . Until the early 1980s, the polite way to discuss discuss ...	en_US
dc.description.sponsorship	Sudan University of Science and Technology	en_US
dc.language.iso	en	en_US
dc.publisher	Sudan University of Science and Technology	en_US
dc.subject	Detecting Fraudulent Transactions	en_US
dc.subject	Automobile Insuace Industry	en_US
dc.subject	Computer science	en_US
dc.title	Detecting Fraudulent Transactions in Automobile Insuace Industry Using Ensemble Models	en_US
dc.title.alternative	كشف المعاملات الاحتيالية في صناعة تأمين السيارات بأستخدام النماذج التجميعية	en_US
dc.type	Thesis	en_US
Appears in Collections:	Masters Dissertations : Computer Science and Information Technology

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