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dc.contributor.author
Katrilakas, Georgios
en
dc.date.accessioned
2020-06-15T12:03:39Z
dc.date.available
2020-06-16T00:00:38Z
dc.date.issued
2020-06-15
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29613
dc.rights
Default License
dc.subject
Knowledge discovery
en
dc.subject
Insurance data
en
dc.title
Knowledge Discovery from Insurance Data
en
heal.type
masterThesis
en_US
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Data Science
en_US
heal.publicationDate
2020-05-05
heal.abstract
This dissertation was written as a part of the MSc in Data Science at the International Hellenic University. In this dissertation we are going to use a data set that includes insurance claims. We are going to use machine learning techniques that can classify our cases to fraud or non-fraud ones. The purpose is to train our algorithm in order to predict whether a new claim is fraud or not.
en
heal.advisorName
Papadopoulos, Apostolos
en
heal.committeeMemberName
Stavrinides, Stavros
en
heal.committeeMemberName
Tjortjis, Christos
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US


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