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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 Same Number of Examples per Class (Stratif... (1)

Created: 10/06/10 @ 15:34:57

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

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This process can be used to sample examples from each class of the data set so that the number of examples per class is the same for all classes. The name of the label attribute is defined in the first "Set Macro" operator within the subprocess "Stratification". The result will be a stratified data set where each class is represented by the minimum number of examples for a single class minus 1 (due to calculation reasons in absolute sampling which is used here). The first two operators just...

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

Viewed: 91 times | Downloaded: 68 times

This Workflow has no tags!

Original Uploader

Workflow SVD user-based collaborative filtering rec... (1)

Created: 09/05/11 @ 12:45:05 | Last updated: 09/05/11 @ 13:59:45

Credits: User Ninoaf User Matko Bošnjak

Attributions: Workflow User-based collaborative filtering recommender system template 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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This workflow takes user-item matrix A as a input. Then it calculates reduced SVD decomposition A_k by taking only k greatest singular values and corresponding singular vectors. This worfkflow calculates recommendations and predictions for particular user %{id} from matrix A. Particular row %{id} is taken from original matrix A and replaced with %{id} row in A_k matrix. Predictions are made for %{id} user based on another users A_k. Note: This workflow uses R-script operator with R library ...

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

Viewed: 183 times | Downloaded: 71 times

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Original Uploader

Workflow Holograph Reduced Representation (1)

Created: 29/06/10 @ 17:27:23

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

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After Kanerwa

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

Viewed: 28 times | Downloaded: 10 times

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Original Uploader

Workflow Frequent Itemset and association rules ana... (1)

Created: 23/05/11 @ 12:40:12 | Last updated: 24/05/11 @ 12:33:39

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

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Generates frequent itemsets and association rules from the gene data. Frequent itemsets correspond to different gene characteristics (locations and functions) that frequently occur together across different genes. The quality of a frequent itemset is given by its support which is the fraction of genes for which a given combination of gene characteristics hold; the longer the itemset the lower its support. Based on the frequent itemset this WF also generates association rules which have some...

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

Viewed: 50 times | Downloaded: 14 times

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Original Uploader

Workflow 11111 (1)

Created: 04/09/10 @ 21:20:46

License: GNU General Public License (GPL) 2.0

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Reads collections of text from a set of directories, assigning each directory to a class (as specified by parameter text_directories), and transforms them into a TF-IDF or other word vector. Finally, an SVM is applied to model the input texts.

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

Viewed: 99 times | Downloaded: 60 times

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Original Uploader

Workflow Mining Semantic Web data using FastMap - E... (1)

Created: 25/06/11 @ 12:11:37 | Last updated: 25/06/11 @ 13:17:51

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

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This workflow describes how to learn from the Semantic Web's data. The input to the workflow is a feature vector developed from a RDF resource. The loaded example set is then divided into training and test parts. These sub-example sets are used by the FastMap operators (encapsulate the FastMap data transformation technique), which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve classfica...

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

Viewed: 71 times | Downloaded: 33 times

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Original Uploader

Workflow Automatical Disabling / Enabling of Operat... (1)

Created: 13/10/10 @ 15:10:31

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

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This meta process shows another possibility for automatically optimizing the process layout. The operator "OperatorEnabler" can be used to enable or disable one of its children. Together with one of the parameter optimization operators this can be used to check which operators should be used for optimal results. This is especially useful in order to determine which preprocessing operators should be used for a particular data set - learner combination or if you want to automatically test diffe...

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

Viewed: 47 times | Downloaded: 29 times

This Workflow has no tags!

Original Uploader

Workflow Loop Repository and Append Data (1)

Created: 10/12/10 @ 18:00:28 | Last updated: 10/12/10 @ 18:04:31

License: GNU General Public License (GPL) 2.0

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This process flow loops through all exampleset '.ioo' files in a repository directory and appends their values. It can also be used as a template for batch processing on different repository entries, or for general data appending.

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

Viewed: 70 times | Downloaded: 85 times

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