![]() ![]() 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. 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. I also found that the application lacks collaboration features which may be something that they could improve on in the future.RapidMiner is A great data mining application filled with interesting features. This may not be a problem for people with a higher spec machine. This may be because the application is running on Java (VM). Aside from this I found that the application seems to hog my computers memory and cpu resources. This may be a problem limited to my own machine. What I found to be very inconvenient is that the application crashes at times. And finally, RapidMiner Studio has a community of data scientists that can help you when you have a question. Tutorial videos as well as blogs are available on their website. Each of the processes has their description, input, output, and parameters well described. One of the difficulties when dealing with code is tweaking the parameters of these models but because of the visual interface, you could simply click on the process and update this. RapidMiner Studio also has most of the machine learning models used in the academe and the industry. Data preparation to the final output and visualization is as simple as dragging blocks of your workflow into a canvas and connecting them altogether. This is because RapidMiner features are drag and drop visual interface which makes all the difference. However, this is now a thing of the past because of RapidMiner Studio. This can be a time consuming problem, especially for those who are not adept at programming. This is on top of having to analyze and learn complex algorithms needed for the task. One of the daunting requirements for data scientists and data storytellers is learning a programming language such as matlab and python and writing code for their tasks. Its well documented functions and strong community addresses what ever questions I had with the processes. It is a great tool for students and people without a strong programming background. It also allowed me to conveniently address my workflow without having to write code. It allowed me to rapidly try out different machine learning models and compare each result with one another. Overall my experience with using RapidMiner was great. ![]()
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