Workflows

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Showing 291 results. Use the filters on the left and the search box below to refine the results.
Type: RapidMiner

Workflow Metamining: mine patterns (1)

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 Workflow to be used for mining patterns with Fr-ONT-Qu in dataset using DMOP vocabulary.

Created: 2012-11-06 | Last updated: 2012-11-06

Uploader

Workflow Parameter-optimization-SVM-classifier-work... (1)

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Workflow with nested loops for SVM parameter optimization and model XValidation

Created: 2012-10-24

Workflow Choosing the best k value for the k-NN cla... (1)

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The process determines the best value for the parameter k for the k-NN classification of the Breast Cancer Wisconsin (Diagnostic) data set available in the UCI Machine Learning Repository. The optimal k is computed by using 10-fold cross-validation. (To get better results each cross-validation is repeated 10 times and the averages of the runs are considered.) Finally, a k-NN classifier is built and evaluated on the entire data set using the optimal k. During the process the resulting average ...

Created: 2012-09-28 | Last updated: 2012-09-28

Workflow A simple process that demonstrates how to ... (1)

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This simple RapidMiner process demonstrates how to use the Open File operator introduced in RapidMiner 5.2. In this example we use the operator to consume a data feed from the web.

Created: 2012-09-27

Workflow RCOMM 2012 Sudoku Challenge: 4 - Solve Sudoku (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. Finally, this process solves the entire Sudoku. It uses process 3 to add inferred cell values to the set of predefined values. It does so repeatedly until 81 values are defined...

Created: 2012-09-04

Workflow RCOMM 2012 Sudoku Challenge: 3 - Drop impo... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. IMPORTANT: Save this process as "RCOMM 2012 Sudoku Challenge: 3 - Drop impossible values (loop)" since it is included from process 4. This process uses process 2 repeatedly to ...

Created: 2012-09-04

Workflow RCOMM 2012 Sudoku Challenge: 2 - Drop impo... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. IMPORTANT: Save this process as "RCOMM 2012 Sudoku Challenge: 2 - Drop impossible values" since it is included from process 3. This process eliminates impossible rows from the...

Created: 2012-09-04

Workflow RCOMM 2012 Sudoku Challenge: 1 - Generate ... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. This process loads the numbers 1..9 and uses two Cartesian Product operators to compute the set of all combinations x, y, v. Finally we compute the index of the 3x3 sub-field a...

Created: 2012-09-04

Workflow RCOMM 2012 Sudoku Challenge: 0 - Get Data (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the solutions to the actual tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. This process loads the two required data sets from rapid-i.com and stores them in your repository. The first data set contains the numbers 1 to 9 and the second contains the pr...

Created: 2012-09-04

Uploader

Workflow Online update recommendation web service V2 (1)

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 After some arbitrary number of recommendations to specific users, system has to update recommendations in item recommendation table. This is accomplished by calling the online update recommendation web service, which updates the recommendation model in RapidAnalytics repository and updates the recommendations for specific users in item recommendation table.

Created: 2012-06-20 | Last updated: 2012-06-20

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