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Group: e-LICO
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Pack Core text mining workflows


Created: 19/02/10 @ 10:12:33 | Last updated: 13/12/11 @ 16:03:17

This pack contains workflows we have created to support core text mining tasks. We currently provide workflows to do these tasks Loading documents (text or PDF) PDF to text conversion Sentence splitting Text cleaning (ASCII or XML-valid) Term recognition (using NaCTeM service TerMine)  

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Pack e-LICO recommender workflows


Created: 15/03/11 @ 15:33:48 | Last updated: 28/01/12 @ 19:39:06

This pack contains recommender system workflows created for the purpose of e-LICO project.

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Pack Who Wants to be a Data Miner?


Created: 02/11/11 @ 17:54:07 | Last updated: 04/09/12 @ 16:59:23

One of the most fun events at the annual RapidMiner Community Meeting and Conference (RCOMM) is the live data mining process design competition "Who Wants to be a Data Miner?". In this competition, participants must design RapidMiner processes for a given goal within a few minutes. The tasks are related to data mining and data analysis, but are rather uncommon. In fact, most of the challenges ask for things RapidMiner was never supposed to do. This pack contains solutions for these...

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Pack Recommender systems workflow templates 2012


Created: 08/01/12 @ 12:27:43 | Last updated: 03/06/12 @ 19:48:22

 The Recommender Extension can be downloaded from the Rapid-I Marketplace from: http://rapidupdate.de:8180/UpdateServer/faces/product_details.xhtml?productId=rmx_irbrecommender . More details can be found: http://elico.rapid-i.com/recommender-extension.html          

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Pack Creating a focused corpus of factual outcomes from b...


Created: 28/06/11 @ 11:19:04 | Last updated: 13/12/11 @ 16:02:16

 This pack contains resources and supplementary files for the submission to the MIND2011 workshop titled "Creating a focused corpus of factual outcomes from biomedical experiments" by James Eales, George Demetriou and Robert Stevens

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Pack RMonto pack


Created: 29/01/12 @ 09:47:09 | Last updated: 05/03/12 @ 22:24:02

  RMonto is an ontological extension to RapidMiner, that provides possibility of machine learning with formal ontologies. RMonto is an easily extendable framework, currently providing support for unsupervised clustering with kernel methods and (frequent) pattern mining in knowledge bases. One important feature of RMonto is that it enables working directly on structured, relational data. Additionally, its custom algorithm implementations may be combined with the power of RapidMiner thr...

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Pack Data mining on KUP data


Created: 23/05/11 @ 12:35:37 | Last updated: 24/05/11 @ 12:31:58

Various Rapid Miner workflows and R scripts that analyse and visualize KUP-related data extracted from the KUP knowledge base.

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Pack RapidMiner plugin for Taverna videos and descriptions


Created: 06/06/11 @ 10:17:52 | Last updated: 13/12/11 @ 16:02:04

 This pack contains videos the show how to use various parts of the RapidMiner plugin for Taverna. The videos demonstrate how to build a Taverna workflow which collects a GEO dataset, uploads it to RapidAnalytics, trains a classifier on one half of the data and tests it on the other half. This classification process can be used to gauge how well mutant and control assays agree across experimental repeats.

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Pack Article title classification: kidney factomics


Created: 21/04/11 @ 15:20:20 | Last updated: 13/12/11 @ 16:02:52

 This pack contains files relevant to our work on extracting facts from article titles

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Pack RCOMM2011 recommender systems workflow templates


Created: 07/04/11 @ 14:59:37 | Last updated: 28/01/12 @ 19:37:47

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