Machine learning concept is handling the dataset and it used to analyze data recently machine highly demanding approach, because of that learn itself like human without explicitly programmed help make faster decision with this also handle computational by using various type algorithms, in paper only focus tree algorithm take quick once problem. predicts output which much faster. Key Words: lear...

Decision tree algorithms in Educational Data Mining (EDM) emerges as a powerful method for student classification according to their learning station. This article emphasizes the necessity classify students due changing scenario of China's higher education system, which has shifted from elitist popularization, and lead university students' differences abilities. For specialty characteristics ed...

internet applications spreading and its high usage popularity result insignificant increasing of cyber-attacks. consequently, network security has becomea matter of importance and several methods have been developed for these attacks.for this purpose, intrusion detection systems (ids) are being used to monitor theattacks occurred on computer networks. data mining techniques, machinelearning, ne...

Decision trees have been widely used in data mining andmachine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction with ACO algorithms remains an almost unexplored research area. In this paper we propose a novel ACO algorithm to induce decision trees, combini...

data parallelism for a decision tree, 489–492 data set structure, 479–480 decision tree algorithm, 480–481 decision tree classification, 477–480 processes, 480–488 structure, 478–479 result parallelism for the decision tree, 492–495