期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN:2278-1323
出版年度:2013
卷号:2
期号:4
页码:1579-1582
出版社:Shri Pannalal Research Institute of Technolgy
摘要:In the real world Most of the datasets have missing data. The presence of missing values in a dataset can affect the performance of Mining Algorithms. In this paper we are using Lagrange interpolation method for prediction of missing values. This method is used to map a data item to a real valued prediction variable. In a dataset if one attributes is depending on other then by using known values we can find the unknown values.