RETAINING CUSTOMERS USING CLUSTERING AND ASSOCIATION RULES IN INSURANCE INDUSTRY: A CASE STUDY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SAMIZADEH R.; MEHREGAN S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF MANAGEMENT AND BUSINESS RESEARCH Year:2015 | Volume:5 | Issue:4 Page(s): 261-268

Download Full-Text

View:

467

Download:

206

Cites:

Information Journal Paper

Title

RETAINING CUSTOMERS USING CLUSTERING AND ASSOCIATION RULES IN INSURANCE INDUSTRY: A CASE STUDY

Author(s)

SAMIZADEH R. | MEHREGAN S. | Issue Writer Certificate

Keywords

DATA MINING

LIFE INSURANCE

CUSTOMER RETENTION

DECISION TREE

SEGMENTATION

Abstract

This study clusters customers and finds the characteristics of different groups in a LIFE INSURANCE company in order to find a way for prediction of customer behavior based on payment. The approach is to use clustering and association rules based on CRISP-DM methodology in DATA MINING. The researcher could classify customers of each policy in three different clusters, using association rules. At the end of study the characteristics are defined and given to the company, so they could implement CRM strategies based on the newly found differences. Attention to the income and cash earning comes before paying attention to other problems. In most of the companies in developing countries, infrastructural problems of the company like earning enough income prevent the company from effective research implementation on advanced strategies. So this study focuses on basic problems. Utilizing DATA MINING approach to classify customers in LIFE INSURANCE is a new approach among insurance companies in Iran. There are some research in relation to the CRM and DATA MINING, but the contribution of this study is to investigate two new attributes plus those common attributes used before in studying customer behavior; the two attributes are “payment type” and the “purchaser”. In order to have a framework, all the process is embedded in CRISP-DM methodology.

Cites

No record.

References

CUSTOMER RETENTION BASED ON THE NUMBER OF PURCHASE: A DATA MINING APPROACH

Cite

APA: Copy

SAMIZADEH, R., & MEHREGAN, S.. (2015). RETAINING CUSTOMERS USING CLUSTERING AND ASSOCIATION RULES IN INSURANCE INDUSTRY: A CASE STUDY. INTERNATIONAL JOURNAL OF MANAGEMENT AND BUSINESS RESEARCH, 5(4), 261-268. SID. https://sid.ir/paper/326863/en

Vancouver: Copy

SAMIZADEH R., MEHREGAN S.. RETAINING CUSTOMERS USING CLUSTERING AND ASSOCIATION RULES IN INSURANCE INDUSTRY: A CASE STUDY. INTERNATIONAL JOURNAL OF MANAGEMENT AND BUSINESS RESEARCH[Internet]. 2015;5(4):261-268. Available from: https://sid.ir/paper/326863/en

IEEE: Copy

R. SAMIZADEH, and S. MEHREGAN, “RETAINING CUSTOMERS USING CLUSTERING AND ASSOCIATION RULES IN INSURANCE INDUSTRY: A CASE STUDY,” INTERNATIONAL JOURNAL OF MANAGEMENT AND BUSINESS RESEARCH, vol. 5, no. 4, pp. 261–268, 2015, [Online]. Available: https://sid.ir/paper/326863/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops