RapidMiner Studio: Difference between revisions

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== Launch RapidMiner Studio and load data ==
== Launch RapidMiner Studio and load data ==


[[File:RapidMiner_Studio_Tutorial1_B.PNG|300px|thumb|left|Figure 1 : Install RapidMiner Studio's Text Mining Extension]]
[[File:RapidMiner_Studio_Tutorial1_B.PNG|100px|thumb|left|Figure 1 : Install RapidMiner Studio's Text Mining Extension]]
[[File:RapidMiner_Studio_Tutorial1_C.PNG|300px|thumb|right|Figure 2 : RapidMiner Studio workspace]]
[[File:RapidMiner_Studio_Tutorial1_C.PNG|300px|thumb|right|Figure 2 : RapidMiner Studio workspace]]


Revision as of 16:20, 10 November 2014

Rapidminer logo.jpg


RapidMiner Studio 5.3.015 (2014/02/26)

Screenshot-rapidminer-studio.png

Developed by: RapidMiner
License: Affero General Public License version 1
Web page : Tool homepage
Tool type : Framework/Library/API,

Tool.png

The last edition of this page was on: 2014/11/09

The Completion level of this page is : Medium


SHORT DESCRIPTION

[[has 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).

Camacab0 (talk) 15:54, 10 November 2014 (CET)]]


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is rather easy 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, a lot more

EXPORT FORMAT : CSV, XML, XSL, a lot more


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:

STATISTICS: Basic

PROGRAMMING: None

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

Screenshot-rapidminer-studio.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. 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).

Camacab0 (talk) 15:54, 10 November 2014 (CET)

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 rather easy to use.
Data import format Data export format
SQL, TXT, XLS, XML, a lot more. CSV, XML, XSL, a lot more.
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
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
[[has 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).

Camacab0 (talk) 15:54, 10 November 2014 (CET)]]

General analysis
Students/Learners/Consumers, Teachers/Tutors/Managers, Developers/Designers, Researchers, Organisations/Institutions/Firms, Others
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, a lot more
CSV, XML, XSL, a lot more
a lot more
a lot more
Sequential Graphic, Chart/Diagram
rather easy to use
Medium

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

  • Installation of RapidMiner Studio is very easy on Windows (tested on Windows 7 and Windows 8.1, both 64 bits), when using the Installer provided on your RapidMiner Account page.
  • 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.

Note : RapidMiner is now a commercial software, so you can only use the product for 14 days, after asking a trial license.

A complete set of tools

First of all, it is important to say that RapidMiner Studio - and RapidMiner Server, that work with it - are a complete set of tools, rather than a more specific software. RapidMiner website says that "RapidMiner lets you easily sort through and run more than 1500 operations".

Because of it's complexity, i will only describe some of RapidMiner Studio's functions. However, I will show above an use example of RapidMiner Studio as a basic text miner. RapidMiner Studio's highlights are :

  • A visual - code-free - environment, so no programming needed
  • Available on all major operating systems and platforms
  • Main function : Design of analysis processes
  • Predictive analytics (with pre-made templates)
  • Data loading
  • Data transformation
  • Data modeling
  • Data visualization (with lots of visualizations)
  • Extension API
  • Lots of data sources : Excel, Access, Oracle, IBM DB2, Microsoft SQL, Sybase, Ingres, MySQL, Postgres, SPSS, dBase, Text files, and more
  • RapidMiner allows you to work with different types and sizes of data sources

Use example : text mining

As described before, RapidMiner can be used as a text mining software. I will describe here an example of text mining process, where we will :

  1. Load and extract words from (the text files in) two directories
  2. Ignore some words that are not wanted (stoplist)
  3. Generate the results
  4. View results in two different ways

Launch RapidMiner Studio and load data

Figure 1 : Install RapidMiner Studio's Text Mining Extension
Figure 2 : RapidMiner Studio workspace

As you launched RapidMiner Studio (v. 6.1.1000) you will need to install the Text Mining extension. RapidMiner works with extensions that plug into the core system. The Text Mining extension can be found in RapidMiner Marketplace, which can be accessed from Help > Updates and Extensions (Marketplace) as shows the figure 1.

After restarting the software, we can start working with it. First of all create a New Process. You will see now the main window of RapidMiner Studio, and I will briefly describe the main zones of the working space :

  • In blue we have the main toolbar
  • In orange we can see all the operators that we can use in our processes
  • In green we have the repositories
  • In purple we have the main process windows, where we will be able to see process results and progression
  • In black we have parameters of each element of or process and help

Define StopWords and operations

View result

Export results

Links

Official

Get RapidMiner

Documentation / Tutorials

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