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Taverna Introduction

Created: 2011-03-28 11:29:08 | Last updated: 2011-03-28 11:29:10

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: PowerPoint presentation

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Bonn Taverna Training agenda March/April 2011

Created: 2011-03-28 11:31:38 | Last updated: 2011-03-28 11:31:39

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Word document

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Taverna Iteration training slides

Created: 2011-03-28 11:44:06 | Last updated: 2011-03-28 11:44:08

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: PowerPoint presentation

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Taverna XPath practical slides .

Created: 2011-03-30 09:17:52 | Last updated: 2011-03-30 09:17:55

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: PowerPoint presentation

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Ondex Tutorial

Unique name: OndexTutorial
Created: Monday 05 January 2009 12:43:42 (UTC)

8 shared items   |   0 announcements

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Taverna 1 Tutorial

Unique name: taverna1tutorial
Created: Wednesday 14 January 2009 15:10:18 (UTC)

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eLicoTutorial

Unique name: eLicoTutorial
Created: Wednesday 10 March 2010 16:41:48 (UTC)

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RapidMiner Demo

Unique name: rapidminer_demo
Created: Saturday 01 May 2010 09:49:28 (UTC)

5 shared items   |   1 announcements

Latest announcement:: RCOMM 2011

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BioVel Training 5-6 Dec 2013 Manchester

Unique name: biovel-5-12-2013
Created: Thursday 21 November 2013 16:02:27 (UTC)

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BioVel Workshop June 2014

Unique name: biovel-jun14
Created: Thursday 08 May 2014 10:32:28 (UTC)

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Bonn Workshop Sep 2014

Unique name: Bonn2014
Created: Wednesday 27 August 2014 13:24:58 (UTC)

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1. Getting Started: Learn and Store a Model (1)

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This getting started process shows the first step of learning and storing a model. After a model is learned, you can load (Retrieve operator) the model and apply it to a test data set (see 2. Getting Started: Retrieve and Apply Model). The process is NOT concerned with evaluation of the model. This process will not immediately run in RapidMiner because you have to adjust the repository path in the Retrieve operator. Tags: Rapidminer, model, learn, learning, training, train, store, first step

Created: 2011-01-17 | Last updated: 2011-01-17

Change Class Distribution of Your Training... (1)

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This example process shows how to change the class distribution of your training data set (in this case the training data is what ever comes out of the "myData reader"). The given training set has a distribution of 10 "Iris-setosa" examples, 40 "Iris-versicolor" examples and 50 "Iris-virginica" examples. The aim is to get a data set which has the class distribution for the label, lets say 10 "Iris-setosa", 20 "Iris-versicolor" and 20 "Iris-virginica. Beware that this may change some propert...

Created: 2011-01-21 | Last updated: 2011-01-21