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| {{quotation|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.}} ([http://en.wikipedia.org/wiki/RapidMiner Wikipedia], retrieved 20:37, 13 March 2012 (CET)) | | {{quotation|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.}} ([http://en.wikipedia.org/wiki/RapidMiner Wikipedia], retrieved 20:37, 13 March 2012 (CET)) |
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| == Installation ==
| | = Installation = |
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| * Is very easy (tested on Win7-64)
| | Installation of RapidMiner Studio is very easy on Windows (tested on Windows 7 and Windows 8.1, both 64 bits). |
| | Installation is kind of difficult on Mac OS X depending on Java versions. In 10.10, RapidMiner asks for Java 1.7 or above, even if you've got 1.8.X installed. |
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| == Links == | | = A complete set of tools = |
| | = Use example : text mining = |
| | == Launch RapidMiner Studio and load data == |
| | == Define StopWords and operations |
| | == View result == |
| | == Export results == |
| | |
| | = Links = |
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| === Official === | | === Official === |
Revision as of 15:24, 10 November 2014
RapidMiner Studio 5.3.015 (2014/02/26)
Developed by: RapidMiner
License: Affero General Public License version 1
Web page : Tool homepage
Tool type : Framework/Library/API,
The last edition of this page was on: 2014/11/09
The Completion level of this page is : Medium
The last edition of this page was on: 2014/11/09 The Completion level of this page is : Medium
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. RapidMiner is now RapidMiner Studio and RapidAnalytics is now called RapidMiner Server.
In a few words, RapidMiner Studio is a "downloadable GUI for machine learning, data mining, text mining, predictive analytics and business analytics". It can also be used (for most purposes) in batch mode (command line mode).
TOOL CHARACTERISTICS
Usability
Authors of this page consider that this tool is somewhat difficult to use.
Tool orientation
This tool is designed for general purpose analysis.
Data mining type
This tool is made for Structured data mining, Text mining, Image mining, Audio mining, Video mining, Data gathering, Social network analysis.
Manipulation type
This tool is designed for Data extraction, Data transformation, Data analysis, Data visualisation, Data conversion, Data cleaning.
IMPORT FORMAT :
SQL, TXT, XLS, XML
EXPORT FORMAT :
CSV, XML, XSL
| 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: Web crawler, Flat file database/Logfile extractor, Structured database extractor
- Transformation of type: Simple data format conversion, Simple data transformation operations, Advanced data transformation operations, Mathematical transformation of data for analysis
- Data analysis of type: Basic statistics and data summarization, Data mining methods and algorithms
- Data visualisation of type: Sequential Graphic, Chart/Diagram (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:
SYSTEM ADMINISTRATION: N/A
DATA MINING MODELS: Medium
FREE TEXT
Tool version : RapidMiner Studio 5.3.015 2014/02/26
(blank line)
Developed by : RapidMiner
(blank line)
Tool Web page : http://sourceforge.net/projects/rapidminer/#resources
(blank line)
Tool type : Framework/Library/API
(blank line)
License:Affero General Public License version 1
| 
|
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. RapidMiner is now RapidMiner Studio and RapidAnalytics is now called RapidMiner Server.
In a few words, RapidMiner Studio is a "downloadable GUI for machine learning, data mining, text mining, predictive analytics and business analytics". It can also be used (for most purposes) in batch mode (command line mode).
TOOL CHARACTERISTICS
| Tool orientation |
Data mining type |
Usability |
| This tool is designed for general purpose analysis. |
This tool is designed for Structured data mining, Text mining, Image mining, Audio mining, Video mining, Data gathering, Social network analysis. |
Authors of this page consider that this tool is somewhat difficult to use. |
| Data import format |
Data export format |
| SQL, TXT, XLS, XML. |
CSV, XML, XSL. |
| 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:
Web crawler, Flat file database/Logfile extractor, Structured database extractor
Can perform data transformation of type:
Simple data format conversion, Simple data transformation operations, Advanced data transformation operations, Mathematical transformation of data for analysis
Can perform data analysis of type:
Basic statistics and data summarization, Data mining methods and algorithms
Can perform data visualisation of type:
Sequential Graphic, Chart/Diagram (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: BASIC |
Programming: NONE |
System administration: |
Data mining models: MEDIUM |
OTHER TOOL INFORMATION
|
| Screenshot-rapidminer-studio.png
|
| Rapidminer logo.jpg
|
| RapidMiner Studio
|
| Affero General Public License version 1
|
| Free&Open source
|
| RapidMiner
|
| 2014/02/26
|
| 5.3.015
|
| 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. RapidMiner is now RapidMiner Studio and RapidAnalytics is now called RapidMiner Server.
In a few words, RapidMiner Studio is a "downloadable GUI for machine learning, data mining, text mining, predictive analytics and business analytics". It can also be used (for most purposes) in batch mode (command line mode).
|
| General analysis
|
|
|
| Organisations/Institutions/Firms
|
| Basic
|
| None
|
| N/A
|
| Medium
|
| Framework/Library/API
|
|
|
| Web crawler, Flat file database/Logfile extractor, Structured database extractor
|
| Structured data mining, Text mining, Image mining, Audio mining, Video mining, Data gathering, Social network analysis
|
| Data extraction, Data transformation, Data analysis, Data visualisation, Data conversion, Data cleaning
|
| Basic statistics and data summarization, Data mining methods and algorithms
|
| Simple data format conversion, Simple data transformation operations, Advanced data transformation operations, Mathematical transformation of data for analysis
|
| SQL, TXT, XLS, XML
|
| CSV, XML, XSL
|
|
|
|
|
| Sequential Graphic, Chart/Diagram
|
|
|
| somewhat difficult to use
|
|
|
| Medium
|
This article or section is a stub. It does not yet contain enough information to be considered a real article. In other words, it is a short or insufficient piece of information and requires additions.
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
Installation of RapidMiner Studio is very easy on Windows (tested on Windows 7 and Windows 8.1, both 64 bits).
Installation is kind of difficult on Mac OS X depending on Java versions. In 10.10, RapidMiner asks for Java 1.7 or above, even if you've got 1.8.X installed.
A complete set of tools
Use example : text mining
Launch RapidMiner Studio and load data
== Define StopWords and operations
View result
Export results
Links
Official
Get RapidMiner
Documentation / Tutorials
