High Efficient Algorithm for Classification Rule
Ji-Zhou Sun · Computer Engineering and Applications Journal · 2006
This paper presents a new high efficient classification algorithm.It integrats the Neural Network and decision tree.The Neural Network is used to reduce the irrelevance feature set and filter the noise data in the training dataset.The decision tree extracts rule set from the worked training dataset.It can enhance the precision of classification,generalization performance and reduce the number of rule.The experiment demonstrates the effectiveness of the mentioned algorithm.