Data mining by density estimation using wavelet

In the field of radiation protection and nuclear science safety is one of the most important matter. The aim of the safety measure is to mitigate the consequences of accident during mal operation of any nuclear facility. In order to have an appropriate safety measure the mining of the data based on which the models are executed for computing the consequences in terms of the radiation dose is very important. With a view to recent progress in information processing there has been significant development in data mining technology using wavelet methods. However, available survey tells that there is no such application in the said domain on this topic. The goal of this is paper to fill the void. First, the paper presents a high-level data-mining framework that reduces the overall process into smaller components. Then a brief review of applications of wavelets for each component is presented. The paper concludes by discussing the impact of wavelets on data mining research and outlining its potential research directions in the field of nuclear science.