Rapid-I Welcomes Global Community to RCOMM 2013 User Conference

Press Releases

Keynote and Sessions Cover the Use of RapidMiner for Data Mining, Big Data, and Other Analytic Applications

 Dortmund, Germany, August 19, 2013 - Rapid-I, a leading provider of open source solutions for predictive analytics, data mining and text mining, has released the keynote and session schedule for the fourth annual RapidMiner Community Meeting and Conference (RCOMM 2013). The keynote presentation, titled “Mining Highly Imbalanced Data with RapidMiner,” will be delivered by David Weisman, PhD, Adjunct Professor of Biology at the University of Massachusetts Boston. RCOMM 2013 takes place August 27 – 30 in Porto, Portugal.

 “The RapidMiner community spans academics, business analysts, data scientists and other analytics users, around the world. At RCOMM 2013, we have selected speakers who will address using RapidMiner for a wide variety of applications, including healthcare, customer acquisition and retention, financial services and manufacturing,” said Dr. Ingo Mierswa, CEO and chairman of Rapid-I.“Sharing this expertise helps Rapid-I better understand its customer needs, and educates customers and potential users about the power, range and flexibility of the RapidMiner platform.”

 RCOMMM 2013 registration is open until August 26. For more information, visit http://www.rcomm2013.org/.

 RapidMiner provides data integration, ETL, data analysis, and reporting in a single application, with an intuitive, drag and drop visual environment for designing and deploying customized analytical processes. The software has been downloaded by over three million users worldwide.

 

About Rapid-I

Rapid-I provides software, solutions, and services in the fields of predictive analytics, data mining, and text mining. Its flagship product, RapidMiner, is the world-leading open-source system for knowledge discovery, data mining and sentiment analysis. RapidMiner is extremely easy to use, blazing fast, and simple to integrate with any IT infrastructure, from the smallest text files to Big Data Hadoop clusters. For more information, visit www.rapid-i.com.

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