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Simon Fischer

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Who Wants to be a Data Miner?

Created: 2011-11-02 17:54:07 | Last updated: 2013-09-09 16:22:11

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...

12 items in this pack

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Simon Fischer

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RCOMM 2013 Data Mining Challenge

Created: 2013-09-09 16:20:45 | Last updated: 2013-09-09 16:24:00

This pack contains the solution and the input data generator for one of the tasks of the RCOMM 2013 data mining challenge "Who Wants to be a Data Miner?". Participants had to solve the task within 10 minutes. The task was this: Givena variant of the Golf data set (found in the //Samples/data folder) where the attribute Outlook is missing,a decision tree model built on the complete Golf data set, anda utility data set containing only the three distinct values of Golf,create an exampl...

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Simon Fischer

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Sudoku solving with RapidMiner (Who Wants to be a Da...

Created: 2012-09-04 16:56:44 | Last updated: 2012-09-04 16:58:26

A fun event at the annual RapidMiner conference RCOMM is the live data mining challenge "Who wants to be a data miner?" where contestants solve tasks data analysis tasks within a few minutes. In 2012 the task was to (partially) solve a Sudoku puzzle. Processes 1 to 3 in this pack correspond to the three tasks whereas process 0 loads the initial data and task 4 is a bonus process that solves the entire Sudoku. Make sure the processes are saved under the name they have on myExperimen...

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Simon Fischer

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RapidAnalytics Video Series Demo Processes

Created: 2011-11-02 15:02:21 | Last updated: 2011-11-02 18:00:41

This pack contains RapidMiner processes created for the RapidAnalytics Video Series.

3 items in this pack

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