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Naive Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products

by S. Balaji, S. K. Srivatsa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 3
Year of Publication: 2012
Authors: S. Balaji, S. K. Srivatsa
10.5120/8023-0805

S. Balaji, S. K. Srivatsa . Naive Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products. International Journal of Computer Applications. 51, 3 ( August 2012), 22-26. DOI=10.5120/8023-0805

@article{ 10.5120/8023-0805,
author = { S. Balaji, S. K. Srivatsa },
title = { Naive Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 3 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number3/8023-0805/ },
doi = { 10.5120/8023-0805 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:27.774114+05:30
%A S. Balaji
%A S. K. Srivatsa
%T Naive Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 3
%P 22-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Prediction analysis is a definite need of any business sector for retaining and attracting the most valuable customers . It is considered as a major challenge facing companies in this information age. Data mining enables companies, in the context of defined business objectives, discover new knowledge, to explore, visualise and understand their data, and to identify patterns, relationships and dependencies that impact on business outcomes. The main focus of this paper concerned with Naive Bayesian classification algorithm for customer classification and prediction on Life Insurance dataset.

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Index Terms

Computer Science
Information Sciences

Keywords

Mining Naïve Bayesian customer realationship Management

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