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Weka Data Mining Overview and Techniques by princessdiaress is a document available to read on EtoBox.

What is Weka Data Mining Overview and Techniques about?

Weka is an open source data mining software written in Java. It contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Weka can import data from files or databases and contains filters for tasks like discretization, normalization, and attribute selection. It builds models using classification algorithms like decision trees, neural networks, and SVM. Results can be evaluated using cross-validation in the Explorer GUI.

Author

princessdiaress

Language

EN