Author(s): Bhaskar N. Patel
Journal: Bonfring International Journal of Data Mining
ISSN 2250-107X
Volume: 02;
Issue: 01;
Start page: 06;
Date: 2012;
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Keywords: Data Mining | Decision Tree | K-Means Algorithm
ABSTRACT
Data classification means categorization of data into different category according to rules. The aim of this proposed research is to extract a kind of ?structure? from a sample of objects. To rephrase it better to learn a concise representation of these data. Present research performed over the classification algorithm learns from the training set and builds a model and that model is used to classify new objects. This paper discusses one of the most widely used supervised classification techniques is the decision tree. And perform own Decision Tree evaluate strength of own classification with Performance analysis and Results analysis.
Journal: Bonfring International Journal of Data Mining
ISSN 2250-107X
Volume: 02;
Issue: 01;
Start page: 06;
Date: 2012;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Data Mining | Decision Tree | K-Means Algorithm
ABSTRACT
Data classification means categorization of data into different category according to rules. The aim of this proposed research is to extract a kind of ?structure? from a sample of objects. To rephrase it better to learn a concise representation of these data. Present research performed over the classification algorithm learns from the training set and builds a model and that model is used to classify new objects. This paper discusses one of the most widely used supervised classification techniques is the decision tree. And perform own Decision Tree evaluate strength of own classification with Performance analysis and Results analysis.
