RapidMiner

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RapidMiner 5.3 (2013/01/01)

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Developed by: Rapid-I
License: Free&Open source
Web page : Tool homepage
Tool type : Framework/Library/API, {{{field_language}}}

Tool.png

The last edition of this page was on: 2014/02/26

The Completion level of this page is : Low


SHORT DESCRIPTION

RapidMiner is a world-leading open-source system for data mining. It is available as a stand-alone application for data analysis and as a data mining engine for the integration into own products.


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is '.

Tool orientation

This tool is designed for general purpose analysis.

Data mining type

This tool is made for Structured data mining.

Manipulation type

This tool is designed for Data transformation, Data analysis, Data visualisation.

IMPORT FORMAT :

EXPORT FORMAT :


Tool objective(s) in the field of Learning Sciences

Analysis & Visualisation of data
Predicting student performance
Student modelling
Social Network Analysis (SNA)
Constructing courseware

Providing feedback for supporting instructors:
Recommendations for students
Grouping students:
Developing concept maps:
Planning/scheduling/monitoring
Experimentation/observation

Tool can perform:

  • Data extraction of type:
  • Transformation of type:
  • Data analysis of type:
  • Data visualisation of type: (These visualisations can be interactive and updated in "real time")



ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others

Required skills:

STATISTICS: N/A

PROGRAMMING: N/A

SYSTEM ADMINISTRATION: N/A

DATA MINING MODELS: N/A



FREE TEXT


Tool version : RapidMiner 5.3 2013/01/01
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Developed by : Rapid-I
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Tool Web page : http://sourceforge.net/projects/rapidminer/#resources
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Tool type : Framework/Library/API
(blank line)
Free&Open source

No image.png

SHORT DESCRIPTION


RapidMiner is a world-leading open-source system for data mining. It is available as a stand-alone application for data analysis and as a data mining engine for the integration into own products.

TOOL CHARACTERISTICS


Tool orientation Data mining type Usability
This tool is designed for general purpose analysis. This tool is designed for Structured data mining. Authors of this page consider that this tool is .
Data import format Data export format
. .
Tool objective(s) in the field of Learning Sciences

☑ Analysis & Visualisation of data
☑ Predicting student performance
☑ Student modelling
☑ Social Network Analysis (SNA)
☑ Constructing courseware

☑ Providing feedback for supporting instructors:
☑ Recommendations for students
☑ Grouping students:
☑ Developing concept maps:
☑ Planning/scheduling/monitoring
Experimentation/observation

Can perform data extraction of type:

Can perform data transformation of type:

Can perform data analysis of type:

Can perform data visualisation of type:
(These visualisations can be interactive and updated in "real time")


ABOUT USER


Tool is suitable for:
Students/Learners/Consumers:☑ Teachers/Tutors/Managers:☑ Researchers:☑ Organisations/Institutions/Firms:☑ Others:☑
Required skills:
Statistics: Programming: System administration: Data mining models:

OTHER TOOL INFORMATION


No screenshot.jpg
RapidMiner
Free&Open source
Rapid-I
2013/01/01
5.3
http://sourceforge.net/projects/rapidminer/#resources
RapidMiner is a world-leading open-source system for data mining. It is available as a stand-alone application for data analysis and as a data mining engine for the integration into own products.
General analysis
N/A
N/A
N/A
N/A
Framework/Library/API
Structured data mining
Data transformation, Data analysis, Data visualisation
Low

Draft

Introduction

Rapidminer is both a free open source and commercial product for text mining (content analysis).

“RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, modelling, evaluation, and deployment. The data mining processes can be made up of arbitrarily nestable operators, described in XML files and created in RapidMiner's graphical user interface (GUI). RapidMiner is written in the Java programming language. It also integrates learning schemes and attribute evaluators of the Weka machine learning environment and statistical modelling schemes of the R-Project.” (Wikipedia, retrieved 20:37, 13 March 2012 (CET))

Installation

  • Is very easy (tested on Win7-64)

Links

Official

Links

Introductions