Reimplementation of the Random Forest Algorithm

Abstract

he random forest algorithm is one of the more versatile data classification algorithms currently known to data mining community. It can classify huge amounts of data, with large number of attributes.The paper describes the reimplementation of the algorithm in higher programming language, and allow it to run in cluster environment.