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Mineração de dados

Mineração de dados. Ferramenta WEKA. WEKA. ferramenta para data mining com muitos algoritmos implementados. Desenvolvida pela Universidade de Waikato, NZ Muito usada nos meios acadêmicos, free Site: http://www.cs.waikato.ac.nz/ml/weka/

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Mineração de dados

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  1. Mineração de dados Ferramenta WEKA

  2. WEKA • ferramenta para data mining com muitos algoritmos implementados. • Desenvolvida pela Universidade de Waikato, NZ • Muito usada nos meios acadêmicos, free • Site: http://www.cs.waikato.ac.nz/ml/weka/ • Apresentação: http://prdownloads.sourceforge.net/weka/Weka_a_tool_for_exploratory_data_mining.ppt

  3. Weka Explorer

  4. Após abrir arquivo:

  5. Aba de classificação

  6. Exemplo de saída

  7. Para aumentar a memória disponível C:\weka>java -jar -Xmx1000M weka.jar

  8. Salvar e utilizar modelo de classificação • Salvar: • A trained model can be saved like this, e.g., J48:train your model on the training data /some/where/train.arff • right-click in the Results list on the item which model you want to save • select Save model and save it to /other/place/j48.model • Carregarload your test data /some/where/test.arff via the Supplied test set button • right-click in the Results list, select Load model and choose /other/place/j48.model • select Re-evaluate model on current test set

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