Description

DataStream classification is one of the important task data mining. When DataStream arrives at speed of GB/sec that time we want to detect spam, web monitoring and storage. It is difficult task and fails in Existing System. Implementing two Algorithms, E-tree Algorithm (Ensemble-tree) and greedy Algorithm. Implementing E-tree algorithm we avoided the Existing problems. Ensemble-tree (E-tree) handling large volume of stream data and drifting. In E-tree, Classify and clustering the DataStream and store the data efficiently and also predict web monitoring and spam detection accurately. Controlling the web traffic we implement the greedy Algorithm.