Weka

From EduTech Wiki
Jump to: navigation, search
Weka logo.gif


Weka 3.6 (2013/07/30)

Weka.png

Developed by: Machine Learning Group at the University of Waikato
License: GPL / GNU General Public License
Web page : Tool homepage
Tool type : Application software

Tool.png

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

The Completion level of this page is : Low


SHORT DESCRIPTION

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka 3.7 (still beta in oct. 2014) includes a package system, that allows to add functionality without recompiling the system. As of summer 2014, most people seem to use this developer version.

Weka is a very popular free data mining tool that includes advanced text mining features


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, Text 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 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: Medium

PROGRAMMING: Medium

SYSTEM ADMINISTRATION: Medium

DATA MINING MODELS: Medium



FREE TEXT


Tool version : Weka 3.6 2013/07/30
(blank line)

Developed by : Machine Learning Group at the University of Waikato
(blank line)
Tool Web page : http://www.cs.waikato.ac.nz/ml/weka/
(blank line)
Tool type : Application software
(blank line)
License:GPL / GNU General Public License

Weka.png

1 SHORT DESCRIPTION


Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka 3.7 (still beta in oct. 2014) includes a package system, that allows to add functionality without recompiling the system. As of summer 2014, most people seem to use this developer version.

Weka is a very popular free data mining tool that includes advanced text mining features

2 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. 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 updated in "real time" )


3 ABOUT USER


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

4 OTHER TOOL INFORMATION


Weka.png
Weka.png
Weka logo.gif
Weka
GPL / GNU General Public License
Free&Open source
Machine Learning Group at the University of Waikato
2013/07/30
3.6
http://www.cs.waikato.ac.nz/ml/weka/
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka 3.7 (still beta in oct. 2014) includes a package system, that allows to add functionality without recompiling the system. As of summer 2014, most people seem to use this developer version.

Weka is a very popular free data mining tool that includes advanced text mining features

General analysis
Researchers
Medium
Medium
Medium
Medium
Application software
Structured data mining, Text mining
Data transformation, Data analysis, Data visualisation
Low

Links

  • Weka Wiki (use the "search function" or "allpages")
Facts about "Weka"
Analysis orientationGeneral analysis +
Data manipulation typeData transformation +, Data analysis + and Data visualisation +
Data tool typeApplication software +
End user typeResearchers +
Free software licenseGPL / GNU General Public License +
Has completion levelLow +
Has descriptionWeka is a collection of machine learning a
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Weka 3.7 (still beta in oct. 2014) includes a package system, that allows to add functionality without recompiling the system. As of summer 2014, most people seem to use this developer version.

Weka is a very popular free data mining tool that includes advanced text mining features
hat includes advanced text mining features +
Has last revision number3.6 +
Has logoWeka logo.gif +
Has nameWeka +
Has screenshotWeka.png +
Has websitehttp://www.cs.waikato.ac.nz/ml/weka/ +
Is developed byMachine Learning Group at the University of Waikato +
Last editionFebruary 26, 2014 +
License typeFree&Open source +
Mining tool typeStructured data mining + and Text mining +
User data mining models levelMedium +
User programming levelMedium +
User statistics levelMedium +
User system engineering levelMedium +
Was last released onJuly 30, 2013 +