论文信息 - A Data Classification Model: For Effective Classification of Intrusion in an Intrusion Detection System Based on Decision Tree Learning Algorithm

A Data Classification Model: For Effective Classification of Intrusion in an Intrusion Detection System Based on Decision Tree Learning Algorithm

Data classification is the heart favorite topic of many researchers. It has a huge array of real-world applications. Although many algorithms and tools are available for creating decision tree based classification, still improvements are required in many aspects. ID3 is a very popular decision tree-based data classification algorithm. A novel model is presented here with decision tree concepts for the data classification. Model that is suggested in this paper is based on the updated ID3 method. It uses a modified gain to select the attribute. This modified gain gives more weightage to most important attribute. The result analysis has shown that the accuracy of proposed model is better.

Nitika Vats Doohan | Prashant Sahai Saxena | Latika Mehrotra

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