SUMMARIZING DATA BY USING DATA MINING TECHNIQUES A COMPARATIVE BY USING C4.5 AND C5.0 ALGORITHMS

This paper describes the theoretical assues of the data mining concept and their development steps. The differences between clustering and classification process are identified. The practical sides of C4.5 and C5.0 classifiers one dealt with and a comparative study is held. The results of applying both classifiers on 30 patients test serums are illustrated and compared via both classifiers. The comparison highlights the superiority of the C4.5 algorithm in presenting high resolution.