Browse > Article
http://dx.doi.org/10.5351/CKSS.2002.9.1.271

Development of Scoring Model on Customer Attrition Probability by Using Data Mining Techniques  

Han, Sang-Tae (Department of Mathematics, Hoseo University)
Lee, Seong-Keon (Departement of Statistics, Korea University)
Kang, Hyun-Cheol (Department of Mathematics, Hoseo University)
Ryu, Dong-Kyun (Department of Mathematics, Hoseo University)
Publication Information
Communications for Statistical Applications and Methods / v.9, no.1, 2002 , pp. 271-280 More about this Journal
Abstract
Recently, many companies have applied data mining techniques to promote competitive power in the field of their business market. In this study, we address how data mining, that is a technique to enable to discover knowledge from a deluge of data, Is used in an executed project in order to support decision making of an enterprise. Also, we develope scoring model on customer attrition probability for automobile-insurance company using data mining techniques. The development of scoring model in domestic insurance is given as an example concretely.
Keywords
data mining; scoring model; customer attrition;
Citations & Related Records
연도 인용수 순위
  • Reference
1 /
[ SAS Institute ] / Data Mining Using SAS Enterprise Miner Software
2 /
[ Chapman, P.;Clinton, J ] / Crisp-DM Process Model, Discussion paper
3 /
[ 강현철;한상태;최종후;김은석;김미경 ] / SAS Enterprise Miner를 이용한 데이터마이닝-방법론 및 활용-
4 /
[ 최종후;한상태;강현철;김은석;김미경;이성건 ] / SAS Enterprise Miner를 이용한 데이터마이닝-기능과 사용법