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RCOMM Challenge 3: Fibonacci Numbers (Impr... (1)

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At the RComm 2010 (www.rcomm2010.org), an unusual competition was held. Titled "Who Wants to Be a Data Miner", three challenges were issued to the participants of the conference. In all challenges, participants had to design RapidMiner processes as quickly as possible. This is the winning process of Challenge 2: "Fibonacci Numbers" by Matko Bošnjak. This was the task: The n-th Fibonacci number is F(n)=F(n-1)+F(n-2), and F(0)=0, F(1)=1. Create a process that creates an example set with F(n)...

Created: 2010-09-17 | Last updated: 2010-09-17

RCOMM Challenge 2: Broken Iris (1)

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At the RComm 2010 (www.rcomm2010.org), an unusual competition was held. Titled "Who Wants to Be a Data Miner", three challenges were issued to the participants of the conference. In all challenges, participants had to design RapidMiner processes as quickly as possible. This is the winning process of Challenge 2: "Broken Iris" by Nico Piatkowski. This was the task: You are given a decision tree model (M) designed on the well-known Iris data set and unlabelled data (U) on which the model is t...

Created: 2010-09-17

RCOMM Challenge 2: Broken Iris (Preparation) (1)

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This workflow creates the input for the RCOMM 2010 Challenge 2. The solution and description are in workflow "RCOMM Challenge 2: Broken Iris"

Created: 2010-09-17

RCOMM Challenge 1: 99 bottles of beer (1)

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At the RComm 2010 (www.rcomm2010.org), an unusual competition was held. Titled "Who Wants to Be a Data Miner", three challenges were issued to the participants of the conference. In all challenges, participants had to design RapidMiner processes as quickly as possible. This is the winning process of Challenge 1: "99 bottles of beer" by Sebastian Land. This was the task: Design a process that produces an example set the rows of which form the lyrics of the well-known song "99 bottles of beer...

Created: 2010-09-17

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bowtie.properties

Created: 2010-09-16 11:31:11

Credits: Wbkoets

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

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NGSPipeline.jar

Created: 2010-09-16 11:27:19 | Last updated: 2010-09-16 11:29:32

Credits: Wbkoets

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/x-java-archive

Comments: 0 | Viewed: 30 times | Downloaded: 15 times

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BowtieToPileup (1)

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This example workflow aligns short sequencing reads to a reference genome using Bowtie and generates a SAMtools pileup file. By analysing an actual data set (SNP detection in N. vitripennis) and translating this analysis pipeline into a Taverna workflow, I was able to come up with an easy way of using Taverna for such analysis. I created a Java API (with my limited Java experience) that wraps the command line programs used in the analysis pipeline: Bowtie and some of the SAMtools. Instead of ...

Created: 2010-09-16

From PDF to lemmatized text (1)

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This workflow uses the web service stationed in JSI (IJS Slovenia), which is based on Matjaž Juršič's LemmaGen - lemmatization engine. The workflow accepts a PDF file as an input an uses James Eales's wrokflows to preprocess the data. The workflow interactively asks the user of which language is the text, since the lemmatization process is language based. The output is a string in Taverna Workbench.

Created: 2010-09-16 | Last updated: 2012-01-18

Credits: Netr James Eales

Attributions: PDF to plain text Clean plain text

retrive dpas data for all ics instruments ... (1)

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This workflow demonstrates the standard query where events for a period of time are requested from the HEC service, available instruments for this time come from the ICS and data only for the times of the events are requested from the DPAS. In this version data from only 3 random events (out of the HEC list) will be requested from the DPAS.

Created: 2010-09-14 | Last updated: 2010-09-14

Credits: Anja Le Blanc

Attributions: retrive dpas data for all ics instruments for HEC event data

retrive dpas data for all ics instruments ... (1)

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This workflow demonstrates the standard query there events for a period of time are requested from the HEC service, available instruments for this time come from the ICS and data only for the times of the events are requested from the DPAS.

Created: 2010-09-14 | Last updated: 2010-09-14

Credits: Anja Le Blanc

Attributions: Extracting data from VOTable format by using XPath query Retrieve all data for all instruments for a given periode of time