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RapidMiner Studio is a Java based application designed to provide you with multiple tools for data analysis tasks. The program can help you browse through the data and create models in order to easily identify trends. When you are dealing with a large databases, identifying the connection between two events can be difficult or even impossible. Since there are multiple businesses who rely on the available information to make important decisions, data analysts are using specialized applications to visualize and understand the data.

This program aims to provide you with an intuitive and effective tool for analyzing data from multiple sources. In order to start an analysis you need to create a process and import the data from an external file or database. The included wizard allows you to specify the data range and detects duplicate data in order to prevent errors.

The Operators panel enables you to select the tool that you need to use and drop it on the main process window. Here you can visually arrange the desired tools, connect multiple operators and specify the execution order before starting the analysis.

If you are not a data analyst, the number of data transformation, visualization and modelling tools might seem overwhelming. However, the program provides you with multiple tutorials and an extensive online documentation in order to help you access the tools that you need. You can also start by using one of the available templates and sample files in order to understand the basic functions.

As the results of the analysis need to be shared with other users, the program includes a wide range of exporting options. To sum up, RapidMiner Studio is an efficient solution for the analists who need to visualize and understand complex data. RapidMiner Studio. A great data mining application that allows you to import data from multiple sources and create complex analysis models in order to understand data trends.

What’s new in RapidMiner Studio 9. The way RapidMiner internally deals with data has fundamentally changed in this release with the new Data Core codename Belt. Its new columnar table representation provides a quantum leap in processing speed and memory efficiency for RapidMiner processes. Multiple operators already use it internally and it becomes fully available now for extension developers to create fast and efficient operators.

Added a Set Positive Value operator for the new Data Core which can make nominal attributes binominal or change the positive value of binominal attributes Read the full changelog.

RapidMiner Studio was reviewed by Sorin Cirneala. Load comments. RapidMiner Studio 9. All rights reserved.

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If you ever need to completely remove RapidMiner or to discard all personal settings, simply delete this directory.