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"I have encountered various learning environments, but none so broad, powerful, and easy-to-use as RapidMiner / YALE. Many of us who are not skilled in programming are thankful."

Roberto E. Ferrer, Venezuela
 
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About Us
Start-Up Company Rapid-I for Professional YALE Support Founded

On December 8th, 2006, Ingo Mierswa, the project leader of the open-source data mining project YALE, and Ralf Klinkenberg, who initiated this project in 2001, founded their start-up company Rapid-I, in order to better serve the needs of professional users of YALE and to provide innovative data mining solutions. Rapid-I is a software and consulting company helping its customers to significantly improve their efficiency and profitability with innovative data mining and business intelligence solutions.

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Rapid Growth of the YALE User Base

The download statistics of last month, October 2006, indicate a rapid growth of the YALE user base. The first release of YALE hosted by SourceForge.net led to a few hundred downloads. Now, two years later, the monthly download number hit its peak at 16,000. This makes YALE one of the most widely used open-source systems for machine learning and data mining.

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Rapid-I Web Site Online

On February 16th, 2007, the web site of the start-up company Rapid-I is launched to extend the web pages of the open-source data mining project YALE. Rapid-I is a software and consulting company helping its customers to significantly improve their efficiency and profitability with innovative data mining and business intelligence solutions. YALE remains open-source (GPL) and free of charge for end users. For closed-source software developers, an alternative developer license (OEM) is available. For and beyond YALE, Rapid-I also offers services like consulting, professional support, customization, and integration.

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YALE 3.4 Released on October 3rd, 2006

The new version 3.4 of the free data mining and machine learning environment YALE was released on October 3rd, 2006. Among other features, this release offers enhanced input handling methods for various file formats and database systems. Together with the powerful visualization engine - which was already completely revised for YALE 3.3 - and the huge amount of learning and preprocessing methods, YALE 3.4 is the first choice for the development of real-world data mining applications.

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YALE paper at KDD 2006

YALE will be presented at the twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006) in a paper and a poster presentation. The conference will take place between August, 20 - 23 in Philadelphia, USA. Read here about the contents of this paper and how to cite it.

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