Publication: ARAÇ SİGORTASI HİLELERİNDE VERİ MADENCİLİĞİNİN_x000D_
KULLANIMI
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Sigorta sektörü, muhtemel zararlara karşı sigortalıyı garanti altına aldığından, sosyal ve ekonomikçöküntü ile kayıpları önlediğinden kişi ve kurumlar için her zaman bir güvence kaynağı olmaktadır.Sektör içerisinde yer alan tarafların haksız menfaat sağlamak amacıyla kasıtlı olarak hileli eylemlerebaşvurması ise sektörün yara almasına sebep olmaktadır. Bu sebeple hilelerin tespiti ve hileli eylemlerekarşı uygun aksiyonların alınması çok önemlidir. Teknolojinin geldiği noktada veri madenciliği, hileriskinin yönetiminde kullanılan etkili araçlardan biri haline gelmiştir. Makalemizin temel amacısigorta şirketlerinde hile riskinin yönetilmesinde yardımcı bir araç olarak veri madenciliğinin nasılkullanılacağını açıklamak olup bu amaç doğrultusunda ele alınan konu araç sigortaları özelindeincelenerek spesifik bir örnekle açıklanmıştır.Bu bağlamda bir acenteden kendi veri tabanında yer alan müşterilerine ait veriler temin edilmiştir.Yapılan hasar taleplerinde hile şüphesi olanlar ve olmayanlar karar ağacı modelinin J.48 algoritmasıaracılığıyla tahmin edilmeye çalışılmıştır.
The insurance sector is always a source of assurance for individuals and institutions as it guarantees_x000D_ the insured against possible damages and prevents social and ekonomic collapse and losses. The_x000D_ intentional applications of fraudulent acts by the parties involved in the sector in order to provide_x000D_ unfair benefit causes the sector to get injured. For this reason, it is very important to detect frauds and_x000D_ to take appropriate actions against fraudulent actions. At the point where technology has come, data_x000D_ mining has become one of the effective tools for managing fraud risk. The main purpose of the article is to explain how to use data mining as an aid to manage fraud risk in insurance companies, the subject_x000D_ is examined in the scope of vehicle insurance and explained with a specific example._x000D_ In this context, the data of the customers belonging to their customers in their database were obtained_x000D_ from an agency. It is tried to guess the decision tree model J.48 algorithm with and without suspicion_x000D_ of cheating._x000D_
The insurance sector is always a source of assurance for individuals and institutions as it guarantees_x000D_ the insured against possible damages and prevents social and ekonomic collapse and losses. The_x000D_ intentional applications of fraudulent acts by the parties involved in the sector in order to provide_x000D_ unfair benefit causes the sector to get injured. For this reason, it is very important to detect frauds and_x000D_ to take appropriate actions against fraudulent actions. At the point where technology has come, data_x000D_ mining has become one of the effective tools for managing fraud risk. The main purpose of the article is to explain how to use data mining as an aid to manage fraud risk in insurance companies, the subject_x000D_ is examined in the scope of vehicle insurance and explained with a specific example._x000D_ In this context, the data of the customers belonging to their customers in their database were obtained_x000D_ from an agency. It is tried to guess the decision tree model J.48 algorithm with and without suspicion_x000D_ of cheating._x000D_