Implementation of ID3 Algorithm

Inductive learning is the learning that is based on induction. In inductive learningDecision tree algorithms are very famous. For the appropriate classification of the objects with the given attributes inductive methods use these algorithms basically. These algorithms are very important in the classification of the objects. That is why many of these algorithms are used in the intelligent systems as well. In this paper the ID3 decision tree learning algorithm is implemented with the help of an example which includes the training set of two weeks. The basic calculations are used to calculate the classification related to the training set used.The resultant of the work will be the classified decision tree and the decision rules. The algorithm is implemented in the java language.