Abstract
Data mining is an action to obtain the knowledge to achieve the main purpose that is detecting hidden facts which contain database by using various techniques that include artificial intelligent, statistic analysis, techniques and modeling. Data mining method brings models and obvious relations in data which help to expect future results. Algorithm appears in this field which indicates comparisons between algorithm to choose the suitable one to have the best results. This paper aims at using classification algorithms. C4.5 and connect it with neural nets (Back propagation BP) to form a classification model hold a two methods characteristics. In addition to comparing the total results with the classification results by using Minitab. This paper results in classified equation C4.5 which is sufficient in performance especially after connecting it with the neural net BP to erase the contradictions in data. The results also confirm the importance to use programming language in achieving the best in comparison with the results of ready made applications.
