A Survey on Decision Tree Based Approaches in Data Mining

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Decision tree learning is the most popular and powerful approach in knowledge discovery as well as in data mining. This is used for exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the item's target value. Classification algorithm processes a training set containing a set of attributes. ID3 algorithm is the most widely used decision tree based algorithms.
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