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more than 400 machine learning, evaluation, in- and output, pre- and post-processing, and visualization operators plus numerous meta optimization schemesġ4. powerful plotting facility offering a large set of sophisticated high-dimensional visualization techniques for data and modelsġ3. simple plugin and extension mechanisms, a broad variety of plugins already exists and you can easily add your ownġ2. Java API (application programming interface) to ease usage of RapidMiner from your own programsġ1. command line mode (batch mode) for automated large-scale applicationsġ0. graphical user interface (GUI) for interactive prototypingĩ. multi-layered data view concept ensures efficient and transparent data handlingĨ. simple scripting language allowing for automatic large-scale experimentsĦ. internal XML representation ensures standardized interchange format of data mining experimentsĥ. operator trees or subtrees can be saved as building blocks for later re-useĤ. KD processes are modeled as simple operator trees which is both intuitive and powerfulģ. 100% pure Java (runs on every major platform and operating system)Ģ. Most comprehensive data mining solution with respect to data integration, transformation, and modeling methodsġ6. Access to data sources like Excel, Access, Oracle, IBM DB2, Microsoft SQL, Sybase, Ingres, mySWL, Postgres, SPSS, dBase, Text files and moreġ5. Machine learning library WEKA fully integratedġ4. Graphical process design for standard tasks, scripting language for arbitrary operationsġ3. Standardized XML interchange format for processesġ2. Definition of re-usable building blocksġ1. Most comprehensive solution available: more than 500 operators for data integration and transformation, data mining, evaluation, and visualizationġ0. Powerful high-dimensional plotting facilitiesĨ. GUI mode, server mode (command line), or access via Java APIħ. Multi-layered data view concept ensures efficient data handlingĥ. Runs on every major platform and operating systemĤ. Freely available open-source data mining and analysis systemĢ.
The only solution that supports an on-the-fly Error Detection and Quick Fixesġ.
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The only solution with metadata transformation: Forget trial and error and inspect the results already at design timeĥ. Repositories for process, data and metadata managementĤ. Powerful and yet intuitive graphical user interface for the design of analytical processesģ. Data integration, analytical ETL, data analysis and reporting into a single suiteĢ. Thousands of installations of RapidMiner in more than 40 countries to give these users a competitive advantage today.ġ. You can use it as a stand-alone application for data analysis as well as data mining engine for integration into their own products.
It is undoubtedly the most widely used open-source system for data mining. Rapidminer Studio 9.4.RapidMiner is A great data mining application filled with interesting features. Added new UserError to Tukey Test Preprocessing model, in case the attribute type is wrong.Fixed a 'unknown error message' in Apply Model (Documents).Added appropriate aylien and meaning cloud icons.Removed 'create view' parameter (which have had no effect).Operator now cleans the mapping of the selected attributes.Improvements of the Replace Rare Values operator.added the parameter 'file name', similar to the ReadExcel operator.changed the 'id' attribute to be called 'Sheet Number', to have an id role and to start counting at 1 (as the Read Excel operator also starts with 1), operator is not compatible with earlier processes anymore!.added throughput port for the input file object.Improvements of Read Excel Sheet Names operator:.works like Optimize Threshold, but lets you define the performance measure manually.New operator: Optimize Threshold (Subprocess):.
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