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RapidMiner Studio

  • Visual workflow designer accelerates the prototyping & validation of predictive models, with predefined connections, built-in templates and repeatable workflows.

  • Rich library of over 1500 machine learning algorithms and functions to build the strongest possible predictive model for any use case

  • Open and extensible for easy integration with existing applications, data, and programming languages like Python and R

  • Now with Auto Model: RapidMiner Auto Model uses automated machine learning to accelerate every step in the life cycle of building a model

Streamlines transformation, development & validation

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Data Access

Connect to any data source, any format, at any scale

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Data Exploration

Quickly discover patterns or data quality issues

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Data Blending

Create the optimal data set for predictive analysis

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Data Cleansing

Expertly cleanse data for advanced algorithms

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Modeling

Efficiently build and delivers better models faster

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Validation

Confidently & accurately estimate model performance

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Data access

Connect to any data source, any format, at any scale

  • More data connectors than any other visual design platform.

  • Includes over 60 file types and formats for structured and unstructured data.

Access, load and extract information from unstructured data

  • 80+ functions for text, web and multimedia mining & processing.

  • Supports plain texts, HTML, PDF, RTF, and many more.

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Data exploration

Robust statistical overviews to quickly explore and understand your data

  • Graphically displays attribute name & type.

  • Quickly identifies missing values.

A powerful chart engine offers more than 30 different visualization options

  • Bubble charts & 3-D scatter plots.

  • Network & tree visualizations, and many more.

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Data preparation

Offers a host of data quality, integration, and transformation tools

  • Multiple options to aggregate, filter and sort or join data.

  • Feature engineering operators for feature selection, creation & extraction.

Determine best influence factors or generate new factors

  • Advanced attribute weighting capabilities.

  • Options for new attribute generation.

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Data cleansing

Provides a variety of advanced approaches for data cleansing

  • Identification and removal of duplicate

  • Anomaly & outlier detection & removal

  • Normalization & standardization

  • Weighting schemes measuring the influence of attributes

Offers sophisticated dimensionality reduction technique

  • Self Organizing Maps (SOM)

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Modeling

Breadth of machine learning functions

  • Classification, regression and clustering techniques.

  • Association mining, frequent item set & similarity computation.

  • Ensemble & hierarchical models.

More than 100 additional modeling operators

  • Seamlessly integrate R, Python and custom scripts.

  • Process Control functions.

  • Optimization loops & branches.

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Validation

Only visual workflow designer with correct model validation techniques

  • Preprocessing models.

  • Cross validation & split validation.

  • Visual evaluation techniques.

Trustworthy performance calculations

  • Accuracy, Precision, Recall, RMSE, AUC and many more.

  • Calculating significance tests.

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Open and extensible

Integrate all of your existing applications, data, and programming languages

  • Native R and Python support

  • Download hundreds of extensions from the RapidMiner Marketplace

  • Source code is available under an aGPL license

RapidMiner Studio Overview

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Click on the picture to watch introduction of RapidMiner Studio

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