Stockumer Straße 475
44227 Dortmund, de
+49 (231) 425786-90
RapidMiner is now available as Small Enterprise Edition
Rapid-I increased the scalability and customizability of its data mining software
The main focus of the new RapidMiner Release 4.2, among other things, is to improve the scalability of RapidMiner for the analysis of very large amounts of data. The database access has been improved and now offers constant access times for databases of any size. The focus on large-scale data mining is also demonstrated by the re-implementation of several data mining methods, leading to a significant speed increase up to a factor of
RapidMiner is he leading open source data mining software ( www.RapidMiner.com ). Accordiung 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 unstructered 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
The use of information published here for personal information and editorial processing is generally free of charge. Please clarify any copyright issues with the stated publisher before further use. In the event of publication, please send a specimen copy to email@example.com.