Search results for "rapidminer"

RCOMM 2011 Challenge 2: Vodka or President? (1)

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This is a solution for Challenge 2 of the a live data mining process design competition "Who Wants to be a Data Miner" held at RCOMM 2011 in Dublin. Those of you who loved "You Don't Know Jack" will remember this task: To tell whether a certain word is the name of a vodka or the name of a leader of the Soviet Union. The RapidMiner process was allowed to download data from Wikipedia to make this decision. One input file contains a list of words for which two attributes "Vodka" or "Leader" wi...

Created: 2011-11-02

RCOMM Challenge 3: Fibonacci Numbers (Inte... (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 original solution I had in mind for Challenge 2: "Fibonacci Numbers". It defines a macro n, recurses by applying itself using an "Embed Process" operator on n-1 and n-2, appends the results (so the length is F(n-1)...

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

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Sebastian land

Joined: Thursday 05 November 2009 09:21:14 (UTC)

Last active:Friday 31 October 2014 07:52:03 (UTC)

Field/Industry:Data-Mining | Occupation/Role(s):Software Developer

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Sir alarius

Joined: Tuesday 11 January 2011 03:37:17 (UTC)

Email (public):sir.alarius [at] gmail.com

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Recommender systems workflow templates 2012

Created: 2012-01-08 12:27:43 | Last updated: 2012-06-03 19:48:22

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Experimentation for recommender extension templates

Created: 2012-01-28 21:54:16 | Last updated: 2012-01-31 16:01:43

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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

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Ninoaf

Joined: Monday 10 May 2010 16:56:35 (UTC)

Last active:Tuesday 30 July 2013 20:32:02 (UTC)

Website:http://www.irb.hr/en/home/nantulov/ | Email (public):nino.antulov [at] irb.hr

Field/Industry:Computer science

kddcup98 direct marketing (1)

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RapidMiner supports Meta Learning by embedding one or several basic learners as children into a parent meta learning operator. In this example we generate a data set with the ExampleSetGenerator operator and apply an improved version of Stacking on this data set. The Stacking operator contains four inner operators, the first one is the learner which should learn the stacked model from the predictions of the other four child operators (base learners). Other meta learning schemes like Boosting ...

Created: 2012-03-15

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