Data Mining Recommender

Created: 2014-10-29 09:50:29 Last updated: 2018-09-20 19:27:46

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Scientific workflow for the recommender construction

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Inputs (1)

Name	Description
Mining_Domain

Processors (6)

Name	Type	Description
REST_GetDMKB	rest
Select_DataMining_Measure	beanshell	Script import javax.swing.BoxLayout; import javax.swing.ButtonGroup; import javax.swing.JLabel; import javax.swing.JOptionPane; import javax.swing.JPanel; import javax.swing.JRadioButton; List selectionValues =new ArrayList(); selectionValues.add(0,"Correctos"); selectionValues.add(1,"Cobertura") ; selectionValues.add(2, "Precisión"); ButtonGroup group = new ButtonGroup(); JPanel messagePanel = new JPanel(); messagePanel.setLayout(new BoxLayout(messagePanel,BoxLayout.Y_AXIS)); messagePanel.add(new JLabel((message == void ? null : message))); JRadioButton[] buttonArray = new JRadioButton[selectionValues.size()]; for (int i = 0; i < buttonArray.length; i++) { buttonArray[i] = new JRadioButton(selectionValues.get(i)); if (i==0) buttonArray[i].setSelected(true); group.add(buttonArray[i]); messagePanel.add(buttonArray[i]); } JOptionPane.showOptionDialog(null, messagePanel, "Selecciona Tipo de Técnica de Minería", JOptionPane.YES_NO_CANCEL_OPTION, JOptionPane.QUESTION_MESSAGE, null, new Object[]{"OK"}, null); //dire=direccion; String answer=""; for (JRadioButton button : buttonArray) { if (button.isSelected()) { answer=button.getText(); } }
REST_Recommender	rest
Select_Testing_Validation_Method	beanshell	Script import javax.swing.BoxLayout; import javax.swing.ButtonGroup; import javax.swing.JLabel; import javax.swing.JOptionPane; import javax.swing.JPanel; import javax.swing.JRadioButton; List selectionValues =new ArrayList(); selectionValues.add(0,"Holdout-Set"); selectionValues.add(0,"Cross-validation"); selectionValues.add(1,"Percentage Split") ; ButtonGroup group = new ButtonGroup(); JPanel messagePanel = new JPanel(); messagePanel.setLayout(new BoxLayout(messagePanel,BoxLayout.Y_AXIS)); messagePanel.add(new JLabel((message == void ? null : message))); JRadioButton[] buttonArray = new JRadioButton[selectionValues.size()]; for (int i = 0; i < buttonArray.length; i++) { buttonArray[i] = new JRadioButton(selectionValues.get(i)); if (i==0) buttonArray[i].setSelected(true); group.add(buttonArray[i]); messagePanel.add(buttonArray[i]); } JOptionPane.showOptionDialog(null, messagePanel, "Selecciona Tipo de Técnica de Minería", JOptionPane.YES_NO_CANCEL_OPTION, JOptionPane.QUESTION_MESSAGE, null, new Object[]{"OK"}, null); //dire=direccion; String answer=""; for (JRadioButton button : buttonArray) { if (button.isSelected()) { answer=button.getText(); } }
Select_DataMining_Profile	beanshell	Script import javax.swing.BoxLayout; import javax.swing.ButtonGroup; import javax.swing.JLabel; import javax.swing.JOptionPane; import javax.swing.JPanel; import javax.swing.JRadioButton; List selectionValues =new ArrayList(); selectionValues.add(0,"NaiveBayes"); selectionValues.add(1,"BayesNet") ; selectionValues.add(2,"J48"); selectionValues.add(3,"RandomForest"); selectionValues.add(4,"OneR"); selectionValues.add(5,"JRip") ; selectionValues.add(6,"Ridor"); selectionValues.add(7,"DecisionTable"); selectionValues.add(8,"NNge"); ButtonGroup group = new ButtonGroup(); JPanel messagePanel = new JPanel(); messagePanel.setLayout(new BoxLayout(messagePanel,BoxLayout.Y_AXIS)); messagePanel.add(new JLabel((message == void ? null : message))); JRadioButton[] buttonArray = new JRadioButton[selectionValues.size()]; for (int i = 0; i < buttonArray.length; i++) { buttonArray[i] = new JRadioButton(selectionValues.get(i)); if (i==0) buttonArray[i].setSelected(true); group.add(buttonArray[i]); messagePanel.add(buttonArray[i]); } JOptionPane.showOptionDialog(null, messagePanel, "Seleccione el algoritmo a utilizar", JOptionPane.YES_NO_CANCEL_OPTION, JOptionPane.QUESTION_MESSAGE, null, new Object[]{"OK"}, null); //dire=direccion; String answer=""; for (JRadioButton button : buttonArray) { if (button.isSelected()) { answer=button.getText(); } } technique=answer; algorithm=answer;
Select_Recommender_Algorithm	beanshell	Script import javax.swing.BoxLayout; import javax.swing.ButtonGroup; import javax.swing.JLabel; import javax.swing.JOptionPane; import javax.swing.JPanel; import javax.swing.JRadioButton; List selectionValues =new ArrayList(); selectionValues.add(0,"Holdout-Set"); selectionValues.add(0,"Cross-validation"); selectionValues.add(1,"Percentage Split") ; ButtonGroup group = new ButtonGroup(); JPanel messagePanel = new JPanel(); messagePanel.setLayout(new BoxLayout(messagePanel,BoxLayout.Y_AXIS)); messagePanel.add(new JLabel((message == void ? null : message))); JRadioButton[] buttonArray = new JRadioButton[selectionValues.size()]; for (int i = 0; i < buttonArray.length; i++) { buttonArray[i] = new JRadioButton(selectionValues.get(i)); if (i==0) buttonArray[i].setSelected(true); group.add(buttonArray[i]); messagePanel.add(buttonArray[i]); } JOptionPane.showOptionDialog(null, messagePanel, "Selecciona Tipo de Técnica de Minería", JOptionPane.YES_NO_CANCEL_OPTION, JOptionPane.QUESTION_MESSAGE, null, new Object[]{"OK"}, null); //dire=direccion; String answer=""; for (JRadioButton button : buttonArray) { if (button.isSelected()) { answer=button.getText(); } }

Beanshells (4)

Name	Description	Inputs	Outputs
Select_DataMining_Measure			answer
Select_Testing_Validation_Method			answer
Select_DataMining_Profile			algorithm
Select_Recommender_Algorithm			answer

Outputs (2)

Name	Description
arff_File
DomainRecommender

Datalinks (9)

Source	Sink
Select_DataMining_Measure:answer	REST_GetDMKB:measureofperformance
Mining_Domain	REST_GetDMKB:domain
Select_DataMining_Measure:answer	REST_Recommender:technique
Select_Testing_Validation_Method:answer	REST_Recommender:validationmethod
Select_Recommender_Algorithm:answer	REST_Recommender:RecommenderAlgorithm
Select_DataMining_Profile:algorithm	REST_Recommender:miningProfile
REST_GetDMKB:status	REST_Recommender:trainingDataset
REST_GetDMKB:responseBody	arff_File
REST_Recommender:responseBody	DomainRecommender

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Information Workflow Type

Taverna 2

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respinosa

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Information Version 4 (latest) (of 4)

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respinosa

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Information Statistics

984 viewings

362 downloads

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Version History

In chronological order:

Data Mining Recommender

Created by respinosa on Wednesday 29 October 2014 09:50:27 (UTC)
Data Mining Recommender

Created by respinosa on Monday 17 November 2014 17:59:38 (UTC)
Data Mining Recommender

Created by respinosa on Monday 12 June 2017 20:41:11 (UTC)
Data Mining Recommender

Created by respinosa on Thursday 20 September 2018 19:27:22 (UTC)

Last edited by respinosa on Thursday 20 September 2018 19:27:44 (UTC)

Revision comment:

Scientic workflow for the recommender construction