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Pregled bibliografske jedinice broj: 672002

Discovering Fraud in Leasing Agreements: Data Mining Approach


Horvat, Ivan; Pejić Bach, Mirjana; Merkač Skok, Marjana
Discovering Fraud in Leasing Agreements: Data Mining Approach // Proceedings / Zadnik Stirn, Lidija ; Žerovnik, Janez ; Povh, Janez ; Drobne, Samo ; Lisec, Anka (ur.).
Dolenjske Toplice: Slovensko društvo informatika, 2013. str. 293-298 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 672002 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Discovering Fraud in Leasing Agreements: Data Mining Approach

Autori
Horvat, Ivan ; Pejić Bach, Mirjana ; Merkač Skok, Marjana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings / Zadnik Stirn, Lidija ; Žerovnik, Janez ; Povh, Janez ; Drobne, Samo ; Lisec, Anka - Dolenjske Toplice : Slovensko društvo informatika, 2013, 293-298

ISBN
987-961-6165-40-2

Skup
12th International Symposium on Operational Research

Mjesto i datum
Dolenjske Toplice, Slovenija, 25.09.2013. - 27.09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
leasing; fraud; data mining; classification; decision tree; CHAID

Sažetak
Fraud attempts create large losses for financing subjects in modern economies. Leasing agreements have become more and more popular as a means of financing objects such as machinery and vehicles. The goal of the paper is to estimate the usability of the data mining approach in disovering fraud in leasing agreements. Real-world data from one of the Croatian leasing firms was used for creating tow models for fraud detection in leasing. The decision tree method was used for creating a classification model, and the CHAID algorithm was deployed.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
067-1521781-2485 - Inteligentni sustavi kontrolinga, financija i računovodstva digitalnog poduzeća (Peić-Bach, Mirjana, MZOS ) ( CroRIS)

Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Mirjana Pejić Bach (autor)


Citiraj ovu publikaciju:

Horvat, Ivan; Pejić Bach, Mirjana; Merkač Skok, Marjana
Discovering Fraud in Leasing Agreements: Data Mining Approach // Proceedings / Zadnik Stirn, Lidija ; Žerovnik, Janez ; Povh, Janez ; Drobne, Samo ; Lisec, Anka (ur.).
Dolenjske Toplice: Slovensko društvo informatika, 2013. str. 293-298 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Horvat, I., Pejić Bach, M. & Merkač Skok, M. (2013) Discovering Fraud in Leasing Agreements: Data Mining Approach. U: Zadnik Stirn, L., Žerovnik, J., Povh, J., Drobne, S. & Lisec, A. (ur.)Proceedings.
@article{article, author = {Horvat, Ivan and Peji\'{c} Bach, Mirjana and Merka\v{c} Skok, Marjana}, year = {2013}, pages = {293-298}, keywords = {leasing, fraud, data mining, classification, decision tree, CHAID}, isbn = {987-961-6165-40-2}, title = {Discovering Fraud in Leasing Agreements: Data Mining Approach}, keyword = {leasing, fraud, data mining, classification, decision tree, CHAID}, publisher = {Slovensko dru\v{s}tvo informatika}, publisherplace = {Dolenjske Toplice, Slovenija} }
@article{article, author = {Horvat, Ivan and Peji\'{c} Bach, Mirjana and Merka\v{c} Skok, Marjana}, year = {2013}, pages = {293-298}, keywords = {leasing, fraud, data mining, classification, decision tree, CHAID}, isbn = {987-961-6165-40-2}, title = {Discovering Fraud in Leasing Agreements: Data Mining Approach}, keyword = {leasing, fraud, data mining, classification, decision tree, CHAID}, publisher = {Slovensko dru\v{s}tvo informatika}, publisherplace = {Dolenjske Toplice, Slovenija} }




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