Contact
QR code for the current URL

Story Box-ID: 198829

RapidMiner GmbH Stockumer Straße 475 44227 Dortmund, Germany http://www.rapidminer.com/
Contact Ms Nadja Mierswa +49 231 42578690
Company logo of RapidMiner GmbH
RapidMiner GmbH

First US Training Courses for Leading Open-Source Data Mining Solution RapidMiner

German company Rapid-I provides not only the successful data mining and business intelligence software RapidMiner free of charge, but also support and services like training courses – now, for the first time, also for the US market

(PresseBox) (Dortmund, )
Open-source software is nowadays widely used and turns out to be a reliable and often more powerful alternative to closed source-software. This is especially true in the case of software for data mining, predictive data analysis, and business intelligence (BI). Open-source based solutions in this field provide powerful functionality for a price much less than that for proprietary alternatives. As a consequence, freely available data mining and business intelligence solutions like RapidMiner are now among the most widely used solutions world-wide. Rapid-I, the company behind RapidMiner, is a provider of predictive analytics, data mining, and text mining solutions and services. Rapid-I, with headquarter in Dortmund, Germany, offers its customers intelligent data analysis of large amounts of data and text including automatically generated classification and forecasting systems. Now, for a very first time, Rapid-I also offers training courses and seminars in the US, namely in New York and San Francisco. “This is a natural consequence, since the USA are our largest market directly following Germany.” states Ingo Mierswa, CEO of Rapid-I. He adds: “Training courses are the best way to learn what is possible with the open-source software RapidMiner.”
In October 2008, different one-day courses on data mining in general, on data mining for customer relationship management, sales, and marketing, on advanced data mining methods, on data mining for time series predictions, on data mining for financial forecasting, on text mining, on web mining and sentiment analysis, and on data mining for developers will be provided at both coasts of the US. “We had a lot of requests for these seminars by users of RapidMiner and by interested companies and organizations”, Ingo Mierswa concludes our interview. “But we are happy to announce that a few places are still available.”

Further information is provided at
New York: http://rapid-i.com/...
San Francisco: http://rapid-i.com/...


About RapidMiner:

RapidMiner is he leading open source data mining software ( www.RapidMiner.com ). According to a poll of the most important web portal for data mining and knowledge discovery, KDnuggets.com, in May 2008 among 347 data mining experts, RapidMiner is the most widely used open source data mining tool, the second most frequently employed software for data analysis overall. A study of the Technical University of Chemnitz presented at the international Data-Mining-Cup 2007 (DMC-2007) compared the major open-source data mining tools and found RapidMiner to be the leading open-source data mining software outperforming the others especially with respect to its advanced technology and to its usability. Within its "Innovation Award 2008", the German initiative for small and mid-sized businesses ("Innitiative Mittelstand") awarded RapidMiner as one of the most innovative open source solutions.
RapidMiner has thousands of users in more than thirty countries world-wide. During the last three years, RapidMiner was downloaded more than 300,000 times. RapidMiner has thousands of users in more than 30 countries world-wide. During the last three years, RapidMiner was downloaded more than 300,000 times. RapidMiner provides more than 500 different modules for detecting patterns in data and for their 2D and 3D visualisation. RapidMiner supports data import from common data formats of other data mining tools, Excel sheets, SPSS files, all common databases, and unstructured text documents like news texts, e-mail messages, web pages, web blogs, PDF documents, as well as time series and audio data.


Address: Rapid-I GmbH, Stockumer Straße 475, 44227 Dortmund, Germany
Press contact: Nadja Mierswa
E-Mail: press@rapid-i.com
Phone: +49-(0)231-425-786-90
Web: www.rapid-i.com
Logos+Photos: www.rapid-i.com/...

RapidMiner GmbH

Rapid-I ( www.rapid-i.com ) is a provider of predictive analytics, data mining, and text mining software, solutions, and services offering its customers automatable intelligent data analysis of large amounts of data and text including automatically generated classification and forecasting systems. The open-source data mining specialist Rapid-I enables other companies to use the latest technology for intelligent data analysis and for the discovery of still unused company knowledge from existing data. Rapid-I won the highly rewarded Open Source Business Award (OSBA 2008). Rapid-I has a broad user and customer base in more than 30 countries world-wide including top companies like Ford, Honda, Nokia, Miele, Philips, IBM, HP, Cisco, Merrill Lynch, BNP Paribas, Bank of America, mobilkom austria, Akzo Nobel, Aureus Pharma, PharmaDM, Cyprotex, Celera, Revere, LexisNexis, and Mitre as well as many small and mid-sized companies. Rapid-I is headquartered in Dortmund, Germany. Besides of its since 2001 continuously improved data mining software RapidMiner, Rapid-I offers its customers a broad range of services including consulting, trainings, professional support, software development, customization, and extensions as well as complete data analysis services from a single source. Further information is available at www.rapid-i.com .

The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.
Important note:

Systematic data storage as well as the use of even parts of this database are only permitted with the written consent of unn | UNITED NEWS NETWORK GmbH.

unn | UNITED NEWS NETWORK GmbH 2002–2024, All rights reserved

The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.