![]() Users without programming knowledge can easily communicate with different parts of the program. It uses various algorithms to prepare and model information, and this wide range of selectable options has led many academic projects to use this powerful product, at least for parts of their work. The software has attracted the attention of many researchers and students in recent years due to its simplicity of operation, and on the other hand, the open-source development model of this product has made programmers more inclined to develop it. Over time, as the capabilities increased over the years, in 2007 the software was renamed to its current name, RapidMiner. This product was known as YALE (Yet Another Learning Environment) in the early years of its release in 2001. The core of this software platform is open source and free, based on which many free and commercial products have been written. ![]() Researchers and people interested in data mining and machine learning can use this program to perform all the necessary steps from preparing the initial information to visualizing the results, evaluating and validating, and optimizing the output in an integrated environment. ![]() This program has many applications in business and business as well as in research, education, learning and. _ Studio is a powerful software in data mining, machine learning, analysis and forecasting, and business analysis. _not_ssage = The tutorials are not available in this RapidMiner version. _resources.help_forum.tip = Need help? Visit our community, with more than 500,000 members and active participation by our research team. _resources.help_forum.label = Visit Community (Web) _resources.help_videos.tip = Jump-start your RapidMiner skills with our free, self-paced online training content. _resources.help_videos.icon = graduation_hat.png _resources.help_videos.label = RapidMiner Academy (Web) _ = Need Help? Browse the online Documentation _resources.tip = See your available support and help resources _resources.icon = speech_balloon_question.png _documentation_ssage = ErrorFailed to load operator documentation\: ? _viewer.tip = Macros: Displays the current content of the defined macros and allows to edit their values. _viewer.short = Live overview of defined macros. _documentation_browser.tip = Help: Displays a help text for the current operator. ![]() _documentation_browser.icon = question.png _documentation_browser.short = Documentation for the currently selected operator. _help.tip = Help: Displays a help text for the current operator. _help.short = Documentation for the selected operator. _operator.tip = Operators: The elements of a Process, each Operator takes input and creates output, depending on the choice of parameters.Also known as: function, formula, node _operator.short = All operators available to add to your process. = Result History: Display a list of results of this session's processes. = A history of all process results this session. _editor.tip = Parameters: Options for configuring the behavior of an Operator. _editor.short = Configure operator behavior in your process. _editor.tip = XML: Shows the XML definition of the current process setup. _editor.short = An XML representation of your process. _panel.tip = Process: A connected set of Operators that help you to transform and analyze your data.Also known as: flow, program, pipeline, diagram _panel.short = Create and design your process here. _viewer.tip = Log: Show the console with log messages. _table.tip = Problems: Errors and warnings in the current process setup. _table.short = View potential problems in your process. _tree.tip = Tree: The operator tree of the current process. _tree.short = A tree representation of your process. Also known as: folder, workspace, project _browser.tip = Repository: The place where your data, processes, and results are stored, either locally or remotely. _browser.short = Manage your data and processes. ![]() = Overview: Overview of the process view. = A zoomed out overview for huge processes. _Value_type.date_time.icon = calendar_clock.png _value_type.attribute_value.icon = data.png ![]()
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