Weka
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.
TOOL CHARACTERISTICS
Usability
Tool orientation
Data mining type
Manipulation type
IMPORT FORMAT :
EXPORT FORMAT :
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
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:
Required skills:
STATISTICS:
PROGRAMMING:
SYSTEM ADMINISTRATION:
DATA MINING MODELS:
FREE TEXT
| Tool version : Weka 3.6 2013/07/30 (blank line) Developed by : Machine Learning Group at the University of Waikato |
|
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.
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 |
☑ Providing feedback for supporting instructors: |
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
|
|
| 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/index.html |
| 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. |
| General analysis |
| Application software |
| Structured data mining |
| Data transformation, Data analysis, Data visualisation |
| Low |
