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Decision Tree Induction Approach for Data Classification Using Peano Count Trees

Author(s): Ravindra Changala

Journal: Journal of Current Engineering Research
ISSN 2250-2637

Volume: 2;
Issue: 2;
Date: 2012;
Original page

Keywords: Decision Tree Induction | Data Mining | Classification | Data Smoothing | Attribute Relevance Data | Peano Count Trees

Many organizations have large quantities of data collected in various application areas. Classification of data is a major issue which leads less efficiency and scalability. In this paper, we developed a new method for decision tree for classification of data using a data structure called Peano Count Tree (P-tree) which enhances the efficiency and scalability. We apply Data Smoothing and Attribute Relevance techniques along with a classifier. Experimental results show that the P-tree method is significantly faster than existing classification methods, making it the preferred method for mining on data to be classified.
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