SVM Ensemble for Insurance Data Analysis

TL;DRAbstract

Data mining is the process of analysing data from different perspectives and summarizing it into useful information. Companies with a strong consumer focus use data mining. The information getting from datamining is useful to increase revenue and reduce overall costs of the company. It is applied in retail field, financial sector, communication media, and in marketing organizations. Datamining facilitate these companies to determine relationships among company internal factors such as price, product positioning, or staff skills, and external factors such as competition in products, economic indicators, and customer demographics. Ensemble learning is a machine-learning paradigm where multiple models or learners are trained to solve the problem. This research explores the usage of SVM ensemble for Insurance Data Analysis. The number of Insurance firms is increasing day by day. The main objective of this research is to find out the best policy from a given list of Insurance policies. In t

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