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Type: RapidMiner
Original Uploader

Workflow Image Mining with RapidMiner (1)

Created: 28/04/10 @ 11:00:37 | Last updated: 16/01/12 @ 14:16:23

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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This is an image mining process using the image mining Web service provided by NHRF within e-Lico. It first uploads a set of images found in a directory, then preprocesses the images and visualizes the result. Furthermore, references to the uploaded images are stored in the local RapidMiner repository so they can later be used for further processing without uploading images a second time.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 1 | Citations: 0

Viewed: 1112 times | Downloaded: 470 times

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Original Uploader

Workflow Using Remember / Recall for "tunneling" re... (1)

Created: 29/04/10 @ 16:07:55 | Last updated: 16/01/12 @ 16:35:12

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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This process shows how Remeber and Recall operators can be used for passing results from one position to another position in the process, when it's impossible to make a direct connection. This process introduces another advanced RapidMiner technique: The macro handling. We have used the predefined macro a, accessed by %{a}, that gives the apply count of the operator. So we are remembering each application of the models that are generated in the learning subprocess of the Split validation. Af...

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 215 times | Downloaded: 73 times

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Original Uploader

Workflow Missing value count (1)

Created: 27/05/10 @ 02:23:44 | Last updated: 13/07/10 @ 17:46:01

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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This workflow enables users to filter examples by the number of missing values they contains; it inserts the numeric attribute 'Missings' - representing, for each example, the count of attributes with missing values.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 51 times | Downloaded: 37 times

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

Created: 04/09/12 @ 16:50:35

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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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 ...

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 16 times | Downloaded: 2 times

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Workflow Transform Attribute Names to lower Case (S... (1)

Created: 06/06/10 @ 17:24:23

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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This process uses a Script operator which transforms the attribute names of the input example set into lower case.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 44 times | Downloaded: 50 times

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Original Uploader

Workflow Item-based collaborative filtering recomme... (1)

Created: 05/05/11 @ 21:07:01 | Last updated: 09/05/11 @ 13:43:09

Credits: User Matko Bošnjak User Ninoaf

Attributions: Blob Datasets for the pack: RCOMM2011 recommender systems workflow templates

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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The workflow for item-based collaborative filtering receives a user-item matrix for its input, and the same context defined macros as the user-based recommender template, namely %{id}, %{recommendation_no}, and %{number_of_neighbors}. Although this process is in theory very similar to user-based technique, it differs in several processing steps since we are dealing with an item-user matrix, the transposed user-item example set. The first step of the workflow, after declaring zero values miss...

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 151 times | Downloaded: 85 times

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Original Uploader

Workflow KNN-FeatureSelection-INCAE (1)

Created: 28/10/11 @ 14:19:09

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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This process adapts one of the templates available in RapidMiner 5 to include some preprocessing.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 21 times | Downloaded: 18 times

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Original Uploader

Workflow Pre process data per group using recall re... (1)

Created: 23/06/10 @ 13:03:01 | Last updated: 23/06/10 @ 13:03:02

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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This process takes as input a dataset with different groups. For each group it discretises attributes into High, Medium, Low. This creates a group invariant representation.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 47 times | Downloaded: 23 times

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Workflow Prepares data for the analysis of fibrosis... (1)

Created: 23/05/11 @ 12:38:49 | Last updated: 25/05/11 @ 15:43:55

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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Prepares gene data for fibrosis by joining datasets from different studies on fibrosis across various organs including the kidney.

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 30 times | Downloaded: 10 times

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Original Uploader

Workflow Instance Selection and Prototype Based Rul... (1)

Created: 05/11/11 @ 22:06:15

License: Creative Commons Attribution-No Derivative Works 3.0 Unported License

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Example of Instance selection: (Requires Instance Selection and Prototype Based Rules plugin): Here instance selection is based on All-kNN algorithm. Because the Pro output of any instance selection operator is just an ExampleSet object, so in fact any Learner can be used instead of kNN, like DecisionTree, but in this example the Decision Tree is based on the reduced ExampleSet .

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 14 times | Downloaded: 7 times

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