RapidMiner

Free and open-source data mining solution
Download

RapidMiner Ranking & Summary

Advertisement

  • Rating:
  • License:
  • GPL
  • Price:
  • FREE
  • Publisher Name:
  • Ingo Mierswa
  • Publisher web site:
  • http://rapid-i.com/content/view/10/32/lang,en/
  • Operating Systems:
  • Mac OS X
  • File Size:
  • 39.3 MB

RapidMiner Tags


RapidMiner Description

Free and open-source data mining solution RapidMiner (formerly YALE) is a world-wide leading open-source data mining solution due to the combination of its leading-edge technologies and its functional range. Applications of RapidMiner cover a wide range of real-world data mining tasks.Use RapidMiner and explore your data! Simplify the construction of experiments and the evaluation of different approaches. Try to find the best combination of learning steps and preprocessing or let RapidMiner do that automatically for you.More than 400 data mining operators can be used and almost arbitrarily combined. The setup is described by XML files which can easily be created with a graphical user interface (GUI). This XML based scripting language turns RapidMiner into an integrated development environment (IDE) for machine learning and data mining. RapidMiner follows the concept of rapid prototyping leading very quickly to the desired results.Furthermore, RapidMiner can be used as a Java data mining library. Here are some key features of "RapidMiner": · realy available open-source knowledge discovery environment · 100% pure Java (runs on every major platform and operating system) · KD processes are modeled as simple operator trees which is both intuitive and powerful · operator trees or subtrees can be saved as building blocks for later re-use · internal XML representation ensures standardized interchange format of data mining experiments · simple scripting language allowing for automatic large-scale experiments · multi-layered data view concept ensures efficient and transparent data handling Flexibility in using RapidMiner: · graphical user interface (GUI) for interactive prototyping · command line mode (batch mode) for automated large-scale applications · Java API (application programming interface) to ease usage of RapidMiner from your own programs · simple plugin and extension mechanisms, a broad variety of plugins already exists and you can easily add your own · powerful plotting facility offering a large set of sophisticated high-dimensional visualization techniques for data and models · more than 400 machine learning, evaluation, in- and output, pre- and post-processing, and visualization operators plus numerous meta optimization schemes · machine learning library WEKA fully integrated (WEKA web page) · RapidMiner was successfully applied on a wide range of applications where its rapid prototyping abilities demonstrated their usefulness, including text mining, multimedia mining, feature engineering, data stream mining and tracking drifting concepts, development of ensemble methods, and distributed data mining. What's New in This Release: Implementation Details: · New properties for additional ioobjects.xml Bugfixes: · Fixed bug for reporting images smaller than 800 x 600 · Fixed class loader problem occurring when more than · one plugin was used · Fixed bug for iterative operator chain · Fixed XML export bug where XML in parameters was not · properly escaped


RapidMiner Related Software