Life expectancy and mortality by race using random subspace method

Abstract

In recent years, massive data is pouring out in the information society. As collecting and processing of such vast amount of data is becoming an important issue, it is widely used with various fields of data mining techniques for extracting information based on data. In this paper, we analyze the causes of the difference between the expected life expectancy and the number of deaths by using the data of the expected life expectancy and the number of the deaths. To analyze the data effectively, we will use the REP-tree for a small and simple size problem using the Random subspace method, which is composed of random subspaces. The performance of the REP-tree algorithm was analyzed and evaluated for statistical data.