SURVIVAL DATA MINING: AN APPLICATION TO CREDIT CARD HOLDERS
SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, cilt.26, sa.1, ss.33-42, 2008 (ESCI)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 26 Sayı: 1
- Basım Tarihi: 2008
- Dergi Adı: SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Academic Search Premier, Directory of Open Access Journals
- Sayfa Sayıları: ss.33-42
- Hacettepe Üniversitesi Adresli: Evet
Özet
Survival analysis is one of the most used statistical methods in medical research. While death or recurrency of illness called as failure in medical research, in subscription based business, loss of consumer (churn) can be taken as failure. Consumer database includes data about the start and end of the usage period of products or services. This information is used to construct the model in order to gain new consumers and to determine new marketing strategies. Survival models are one of the best methods to examine the consumer database. In this study, it is shown that semi-parametric and parametric methods can be used to analyze consumer database by using information about credit card holders.