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Weka: Data Mining and Preprocessing Guide by Bareerah Shaikh is a document available to read on EtoBox.

What is Weka: Data Mining and Preprocessing Guide about?

This document discusses the Weka data mining tool. Weka can be used for data preprocessing, classification, clustering, and association rule mining. It accepts data in ARFF and CSV formats. Data preprocessing in Weka includes data cleaning, integration, transformation, and reduction. Classification and prediction techniques in Weka include decision trees, naive Bayes, neural networks, and ensemble methods. Clustering and association rule mining algorithms are also available in Weka. Evaluation measures for

Author

Bareerah Shaikh

Language

EN