期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：3
出版社：S&S Publications
摘要：The re are several algorithms applied to find the efficiency and effectiveness. H ere we consider the efficiency as the time taken to retrie ve the data's from the database and effectiveness is from the most datasets (or) subsets which ar e relevant to the users search. By u sing FAST algorithm we can retrieve the data's without the irrelevant features. Here the irrelevant features are carried out by means of various levels of the query input and the output the relevant information can be carr ied out in case of the subset selection and clustering methods. These can be formed in well equipped format and the time taken for retrieve the information will be short time and the Fast algorithm calculate the retrieval time of the data from the dataset. This algorithm formulates as per the data available in the dataset. In this paper, mainly focus about the micro array images which are not discussed in the previous work . By analyzing the efficiency of the proposed work and the existing work, the time tak en to retrieve the data will be better in the proposed by removing all the irrelevant features which are gets analyzed.
关键词：Subset; Relevance; Fast Algorithm; Irrelevant ; features
