Issuing of Pollution Under Control Certificate using ID3 algorithm (original) (raw)

2013

Abstract

Learning that is based on induction is the inductive learning. Decision tree algorithms are very famous in inductive learning. These kinds of algorithm use inductive methods for the appropriate classification of the objects with the given attributes. These algorithms are very beneficial in the classification of the objects and are mainly used in expert systems. In this paper the ID3 decision tree learning algorithm is used to find out whether there are any changes in the present decision rules for issuing of PUCC (Pollution under Control Certificate) when some new attributes are added. Here the three studies are done regarding the issuing of PUCC and in each study a new attribute is added to the dataset to get the decision rules as resultant. The algorithm is implemented in the java language.

Dr. Sonia Vatta hasn't uploaded this paper.

Let Dr. Sonia know you want this paper to be uploaded.

Ask for this paper to be uploaded.