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Statements

Subject Item
n2:RIV%2F00216275%3A25410%2F14%3A39898724%21RIV15-MSM-25410___
rdf:type
n8:Vysledek skos:Concept
rdfs:seeAlso
http://conferences.ukf.sk/index.php/phdconf/phdconf2014
dcterms:description
The presented paper deals with the possibility of using Rough Sets Theory in insurance industry. Insurance frauds cause significant economic losses. Each insurance company has built a department that specializes in detection insurance frauds. These frauds mean for insurers damages in the millions per year. Department of the liquidation of insurance claims solves two seemingly contradictory tasks. On the one hand it tries to quickly settle claim and to pay to the client insurance settlement. On the other hand it analyzes individual events and detect fraudulent events and this analyze is time-consuming. Given the volume of insurance claims that are handled it is necessary to ensure automated procedure for deciding whether some event may seem characteristics of fraudulent behaviour or not. Using Rough Sets Theory (RST) could help to detect insurance fraud. The first part briefly describes each part of this paper. The following part focuses on Rough Sets Theory (RST) and its concepts and the algorithm for decision-making. The work continues with parts Detection of insurance fraud. And finally it is mentioned using Rough Sets Theory in marketing of insurance companies. The presented paper deals with the possibility of using Rough Sets Theory in insurance industry. Insurance frauds cause significant economic losses. Each insurance company has built a department that specializes in detection insurance frauds. These frauds mean for insurers damages in the millions per year. Department of the liquidation of insurance claims solves two seemingly contradictory tasks. On the one hand it tries to quickly settle claim and to pay to the client insurance settlement. On the other hand it analyzes individual events and detect fraudulent events and this analyze is time-consuming. Given the volume of insurance claims that are handled it is necessary to ensure automated procedure for deciding whether some event may seem characteristics of fraudulent behaviour or not. Using Rough Sets Theory (RST) could help to detect insurance fraud. The first part briefly describes each part of this paper. The following part focuses on Rough Sets Theory (RST) and its concepts and the algorithm for decision-making. The work continues with parts Detection of insurance fraud. And finally it is mentioned using Rough Sets Theory in marketing of insurance companies.
dcterms:title
THE POSSIBILITY OF USING ROUGH SETS THEORY IN INSURANCE INDUSTRY THE POSSIBILITY OF USING ROUGH SETS THEORY IN INSURANCE INDUSTRY
skos:prefLabel
THE POSSIBILITY OF USING ROUGH SETS THEORY IN INSURANCE INDUSTRY THE POSSIBILITY OF USING ROUGH SETS THEORY IN INSURANCE INDUSTRY
skos:notation
RIV/00216275:25410/14:39898724!RIV15-MSM-25410___
n6:aktivita
n16:S
n6:aktivity
S
n6:dodaniDat
n9:2015
n6:domaciTvurceVysledku
n18:6103367
n6:druhVysledku
n21:D
n6:duvernostUdaju
n11:S
n6:entitaPredkladatele
n15:predkladatel
n6:idSjednocenehoVysledku
37908
n6:idVysledku
RIV/00216275:25410/14:39898724
n6:jazykVysledku
n20:eng
n6:klicovaSlova
Fraud detection; Insurance; Rough Sets Theory
n6:klicoveSlovo
n7:Rough%20Sets%20Theory n7:Fraud%20detection n7:Insurance
n6:kontrolniKodProRIV
[937A6B42BDD1]
n6:mistoKonaniAkce
Nitra
n6:mistoVydani
Nitra
n6:nazevZdroje
Scientia iuvenis - Book of Scientific Papers
n6:obor
n17:BB
n6:pocetDomacichTvurcuVysledku
1
n6:pocetTvurcuVysledku
1
n6:rokUplatneniVysledku
n9:2014
n6:tvurceVysledku
Papoušková, Monika
n6:typAkce
n12:EUR
n6:zahajeniAkce
2014-10-22+02:00
s:numberOfPages
5
n13:hasPublisher
Univerzita Konštantína Filozofa v Nitre
n19:isbn
978-80-558-0650-1
n3:organizacniJednotka
25410