Applications of Data Mining Techniques In Health Insurance
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
Data mining is used to extract patterns in a huge data set. The hidden information can easily be fetched out using the different techniques of data mining. Market Basket Analysis is such a widely used technique which is basically used to get frequent data set. The meaning of basket is collection of transaction data items taken in a transaction item set. It uses mathematical measures like Confidence, Support and Lift. In this paper there is a small effort to make use of Market-Basket Analysis or Association Rule Mining for knowledge discovery in the Health Insurance Company to support decision making using knowledge as premeditated factor. In this paper, also there is a use of different data mining techniques like association rules, clustering, classification etc. for knowledge discovery in health insurance business. These anticipated data mining techniques and the decision- maker may explore the extension of health insurance activities to give the more strength in the present health insurance sector.
Authors and Affiliations
Peeyush Vyas
Keywords
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