Workflows

Simulation workflow for flooding emergency... (1)

Simulation workflow for flooding emergency simulation. This workflow cannot be executed as is due to authentification restriction, and local tools dependancies.

Created: 2012-02-15

document clustering (1)

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Tesla Experiment Clustering wikipedia articles of different topics Evaluation of the results with the purity measure and rand index

Created: 2012-02-15 | Last updated: 2012-02-17

Credits: AGeduldig

Radio lists search over time period (2)

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This workflow searches the wind stereo II IV radioburst list, wind tyhpe II soho cme list, hfc radioburst type III list, tsrs solar radio event list and combines the return of these lists chronologically. Only time_start, time_end, and comment sections are preserved in the result list.

Created: 2012-02-13 | Last updated: 2012-02-14

Credits: Anja Le Blanc

Render gene via BioGPS (2)

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This workflow uses the REST API of BioGPS to list the plugins and then allow the user to select which plugin to use to display the input gene id

Created: 2012-02-10 | Last updated: 2012-02-15

Credits: Alan Williams

Parameter optimization (1)

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This is a parameter optimization workflow for rating prediction recommendation operators.

Created: 2012-02-10 | Last updated: 2012-02-10

Credits: Matej Mihelčić

Associated Region to Gene List (1)

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Produces a gene list from the Associated Region XML file

Created: 2012-02-08 | Last updated: 2012-02-08

Credits: Paul martin

Make XML Parameters (1)

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Reformats a SNP list with optional p-value into the required XML input for the 'Define Associated Regions and Genes' workflow. Additional parameters can be supplied to add to the XML document.

Created: 2012-02-08 | Last updated: 2012-02-08

Credits: Paul martin

Define Associated Regions and Genes (2)

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Defines regions and genes from associated SNPs A JAVA MySQL connector is required to run the workflow and must be placed in the $TAVERNA_HOME/lib directory.

Created: 2012-02-08 | Last updated: 2012-05-09

Credits: Paul martin

A heuristic measure for detecting undesire... (2)

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The workflow takes TIFF image instances as input, applies a list of JP2 compression parameter values, executes OCR using an open source OCR engine, evaluates the results, and creates a diagram visualising the results. Dependencies on external tools for the tool service components: Tesseract ImageMagick Kakadu Gnuplot Dependencies on external Java libraries of beanshells: Apache commons lang

Created: 2012-02-06 | Last updated: 2012-03-09

Credits: Sven

Experimentation through repository access (1)

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This workflow reads train/test dataset from a specified RapidMiner repository and tests selected operator on that datasets. Only datasets specified with a proper regular expression are considered. Train and test data filenames must correspond e.g (train1, test1). Informations about training and testing data, performanse measures of a selected operator are stored as an Excel file. Note: Train/test file names should not be contained in the repository path. E.g training/train is not a god path,...

Created: 2012-01-31 | Last updated: 2012-02-01

Credits: Matej Mihelčić Matko Bošnjak tomS

Latex Text Cloud Visualization (1)

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An experiment to visualise my dissertation text within a word cloud. This experiment is configured for Windows. To run it under Linux or Mac, change the configuration file of the tree tagger wrapper.

Created: 2012-01-30 | Last updated: 2012-05-22

Credits: jhermes

Transforming user/item description dataset... (1)

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This workflow provides transformation of an user/item description attribute set, into a format required by attribute based k-NN operators of the Recommender extension. See: http://zel.irb.hr/wiki/lib/exe/fetch.php?media=del:projects:elico:recsys_manual_v1.1.pdf to learn about formats of datasets required by Recommender extension.

Created: 2012-01-30

Data iteration workflow (RP) (1)

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This is a data iteration workflow used to iterate throug query update sets.

Created: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

Model update workflow (RP) (1)

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This is a Model update workflow called from data iteration workflow on every given query set. In the Loop operator model and current training set are retrieved from the repository. Model update is performed on a given query set creating new model. Model and updated train set are saved in the repository.

Created: 2012-01-29 | Last updated: 2012-01-30

Credits: Matej Mihelčić

recommender workflow (RP) (1)

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This is a main online update experimentation workflow. It consists of three Execute Process operators. First operator executes model training workflow. Second operator executes online updates workflow for multiple query update sets. The last operator executes performance testing and comparison workflow. Final performance results are saved in an Excel file.

Created: 2012-01-29

Credits: Matej Mihelčić

Model testing workflow (RP) (1)

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This workflow measures performance of three models. Model learned on train data and upgraded using online model updates. Model learned on train data + all query update sets. Model learned on train data only.

Created: 2012-01-29 | Last updated: 2012-01-30

Credits: Matej Mihelčić

Model saving workflow (RP) (1)

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This workflow trains and saves model for a selected rating prediction operator.

Created: 2012-01-29 | Last updated: 2012-01-30

Credits: Matej Mihelčić

Model update workflow (1)

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This is a Model update workflow called from data iteration workflow on every given query set. In the Loop operator model and current training set are retrieved from the repository. Model update is performed on a given query set creating new model. Model and updated train set are saved in the repository.

Created: 2012-01-29 | Last updated: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

Data iteration workflow (1)

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This is a data iteration workflow used to iterate throug query update sets.

Created: 2012-01-29

Credits: Matej Mihelčić Matko Bošnjak

Model testing workflow (1)

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This workflow measures performance of three models. Model learned on train data and upgraded using online model updates. Model learned on train data + all query update sets. Model learned on train data only.

Created: 2012-01-29

Credits: Matej Mihelčić