<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Extraction of customer behavioral patterns is a complex task and widely studied for various industrial applications under different heading viz., customer retention management, business intelligence and data mining. In this paper, authors experimented to extract the behavioral patterns for customer retention in Health care insurance. Initially, the customers are classified into three general categories - stable, unstable and oscillatory. To extract the patterns the concept of Novel index tree (a variant of K-d tree) clubbed with K-Nearest Neighbor algorithm is proposed for efficient classification of data, as well as outliers and the concept of insurance dynamics is proposed for analyzing customer behavioral patterns</p></abstract>

Extraction of customer behavioral patterns is a complex task and widely studied for various industrial applications under different heading viz., customer retention management, business intelligence and data mining. In this paper, authors experimented to extract the behavioral patterns for customer retention in Health care insurance. Initially, the customers are classified into three general categories - stable, unstable and oscillatory. To extract the patterns the concept of Novel index tree (a variant of K-d tree) clubbed with K-Nearest Neighbor algorithm is proposed for efficient classification of data, as well as outliers and the concept of insurance dynamics is proposed for analyzing customer behavioral patterns

Insurance Dynamics – A Data Mining Approach for Customer Retention in Health Care Insurance Industry

Professor of Mathematics, JNTUH, Hyderabad

Cybernetics and Information Technologies

Extraction of customer behavioral patterns is a complex task and widely studied for various industrial applications under different heading viz., customer...

Insurance Dynamics – A Data Mining Approach for Customer Retention in Health Care Insurance Industry

Online veröffentlicht: 13. März 2013

Seitenbereich: 49 - 60

DOI: https://doi.org/10.2478/cait-2012-0004

Schlüsselwörter
Insurance dynamics, K-d tree, KNN, Novel Index tree, Customer retention

This content is open access.

Insurance Dynamics – A Data Mining Approach for Customer Retention in Health Care Insurance Industry

Online veröffentlicht: 13. März 2013

Seitenbereich: 49 - 60

DOI: https://doi.org/10.2478/cait-2012-0004

SchlüsselwörterInsurance dynamics, K-d tree, KNN, Novel Index tree, Customer retention

This content is open access.

Schlüsselwörter
Insurance dynamics, K-d tree, KNN, Novel Index tree, Customer retention