An Efficient Modified ID3 Decision Tree Algorithm for Data Mining Using S-T Entropy

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Data mining is the process of automatically discovering useful information in large data repositories. Data mining techniques deployed to scour large databases in order to find novel and useful patterns that might otherwise remain unknown. The classification techniques help to learn a model from a set of training data and to classify a test data well into one of the classes. It can be described as supervised learning algorithm as it assigns class labels to data objects based on the relationship between the data items with a pre-defined class label.

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