Predicting breast cancer recurrence using data mining techniques

In this study, we firstly take good advantage of SEER Public-Use Data to predict breast cancer recurrence using data mining techniques. The SEER Public-Use Data 2005 is used in this research. We presented a new data pre-classification method and firstly find a possible solution to discover the information of breast cancer recurrence of SEER data. After the preprocessing of the dataset, we investigate several algorithms. As a result, we found c5 algorithm has the best performance of accuracy.