Author : L. Sunitha,M. Bal Raju and B.Sunil Srinivas

 
In data mining pre processing means preparing data .It is the one of the important and compulsory task. Before applying the data mining techniques like association, classification or clustering noisy and outliers should be removed. In this paper we are trying to find similarities and differences between noisy data and outliers .Actually most of the data mining users are thing that these two are same but lot of differences are there.

Key Terms: Noisy, Outlier, Pre Processing

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.2 (June- 2013)