A Review of Data Reduction / Extraction in Data mining from the Large set of Database

ABSTRACT: Data reduction or extraction from large set of the database is the key challenge nowadays which is gathered from the temporal or spatial domain source such as remote sensing, medical and satellite data. Data mining is the widely used technology to uncover the hidden information from the huge datasets of database. Various approaches such as clustering and association rule are used to extract the information. In this paper review of various approaches proposed by different researchers and also explained the data reduction techniques to extract the essential information with its advantages and disadvantages