IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Recommending an Insurance Policy Using Association Rule Mining


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International Journal for Innovative Research in Science & Technology
Volume 1 Issue - 4
Year of Publication : 2014
Authors : Nilkamal P.More ; Suchitra Patil

BibTeX:

@article{IJIRSTV1I4044,
     title={Recommending an Insurance Policy Using Association Rule Mining},
     author={Nilkamal P.More and Suchitra Patil},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={4},
     pages={70--73},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I4044.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Improving the efficiency of ascertaining the frequent itemsets is a crucial issue in association rule mining algorithms. This paper illustrates the use of Apriori algorithm for Life Insurance Corporation for recommending a policy to a customer who is interested in taking a policy. For recommending a policy to a customer, the information about existing policy holders is taken into consideration. This paper also analyzes the performance of “An Improved Apriori Algorithm based on Matrix” [1].

Keywords:

Apriori Algorithm, Boolean Matrix, Frequent Itemsets, Association Rules
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