This project is about preprocessing method in data mining using machine learning knowledge. I m trying to use C++ programming since the basic coding of the three algorithms which used to do discretization is in C++. The three algorithms are Equal Frequency Binning, Ent-MDLP and Boolean Reasoning. I m using all these 3 methods to enhance learning process through two classifiers. Those two classifiers are Rough Set and Neural Network Classifiers. This project is to determine which classifier is better within the three algorithms. Which algorithm is more accurate and better to be used in which classifier? Willing to pay USD 100. Anyone interested please mail me for more details. I will able to give more description.