Weka

DM & LA Portal > Form: Data mining and learning analytics tools

Weka 3.6 (2013/07/30)

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

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

The Completion level of this page is : Low

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 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:  Medium

PROGRAMMING:  Medium

SYSTEM ADMINISTRATION:  Medium

DATA MINING MODELS:  Medium

FREE TEXT

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Tool version : Weka 3.6 2013/07/30
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Developed by : Machine Learning Group at the University of Waikato
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Tool Web page : http://www.cs.waikato.ac.nz/ml/weka/
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Tool type : Application software
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License:GPL / GNU General Public License

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## Contents

* 1 SHORT DESCRIPTION
* 2 TOOL CHARACTERISTICS
* 3 ABOUT USER
* 4 OTHER TOOL INFORMATION

## SHORT DESCRIPTION[edit source]

* * *

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[edit source]

* * *

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 interactive and updated in "real time")

## ABOUT USER[edit source]

* * *

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

## OTHER TOOL INFORMATION[edit source]

* * *

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")