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Data Mining: Classification vs. Prediction by Aparna kallepu is a document available to read on EtoBox.

What is Data Mining: Classification vs. Prediction about?

The document discusses key techniques in data mining, focusing on classification and prediction, which are used to derive insights from datasets. It explains classification as the process of assigning categorical labels to data based on features, while prediction estimates continuous values, often using regression analysis. Additionally, it covers decision trees, Bayesian classification, K-Nearest Neighbors, and rule-based classification, highlighting their structures, algorithms, and applications.

Author

Aparna kallepu

Language

EN