In today world of internet, it is important to feedback the users based on what they demand. Moreover, one of the important tasks in data mining is classification. Today, there are several classification techniques in order to solve the classification problems like Genetic Algorithm, Decision Tree, Bayesian and others. In this article, it is attempted to classify researchers to “Expert” and “No...

Over the past two decades, Machine Learning has become one of the mainstays of information technology. Machine learning is concerned with the development of algorithms and achieves optimization classification of attributes. Classification under the decision tree is the prediction approach of data mining techniques. In the decision tree, classification algorithm has the most common classifier to...

Intrusion detection technology exists a lot of problems, such as low performance, low intelligent level, high false alarm rate, high false negative rate and so on. There is a need to develop some robust decision tree in order to produce effective decision rules from the attacked data. In this paper, ID3 decision tree classification method is used to build an effective decision tree for intrusio...

Data Mining domain integrates several partitions of the computer science and analytics field. mining focuses on mine data from a repository datasets, to identify patterns, discover knowledge, additionally predict probable outcomes. One inflammatory diseases is Rheumatoid Arthritis (RA) caused by specific autoantibodies with destruction synovial joint autoantibodies. Most RA patients experience ...