A flexible Java environment for knowledge discovery in databases, machine learning, and data mining #Knowledge discovery #Machine learning #Data mining #RapidMiner #Knowledge #Discovery
RapidMiner (formerly YALE) is a flexible Java environment for knowledge discovery in databases, machine learning, and data mining. Many nestable learning and preprocessing operators (including Weka) are provided.
The project features an XML-based graphical user interface, a plugin mechanism, and high-dimensional plotting, and provides an easy-to-use extension mechanism that makes it possible to integrate new operators and adapt the system to your personal requirem A command line version is also included.
RapidMiner (formerly YALE) and its plugins provide more than 400 operators for all aspects of Data Mining. Meta operators automatically optimize the experiment designs and users no longer need to tune single steps or parameters any longer. A huge amount of visualization techniques and the possibility to place breakpoints after each operator give insight into the success of your design - even online for running experiments. On this page we discuss the main groups of operators and give operator examples for each of the groups.
RapidMiner 5.1.017
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- Linux
- main category:
- Science and Engineering
- developer:
- visit homepage
Windows Sandbox Launcher 1.0.0
4k Video Downloader 1.5.3.0080 Plus / 4.30.0.5655
IrfanView 4.67
Context Menu Manager 3.3.3.1
Microsoft Teams 24060.3102.2733.5911 Home / 1.7.00.7956 Work
7-Zip 23.01 / 24.04 Beta
ShareX 16.0.1
Zoom Client 6.0.4.38135
Bitdefender Antivirus Free 27.0.35.146
calibre 7.9.0
- Zoom Client
- Bitdefender Antivirus Free
- calibre
- Windows Sandbox Launcher
- 4k Video Downloader
- IrfanView
- Context Menu Manager
- Microsoft Teams
- 7-Zip
- ShareX