Weka (Waikato Environment for Knowledge Analysis)

Last Updated: 10/5/2018 12:00:00 AM
Site: http://www.cs.waikato.ac.nz/ml/weka/

Weka (Waikato Environment for Knowledge Analysis) is a free Java-based data mining workbench of machine learning algorithms, offered by the Machine Learning Group of the University of Waikato. It includes tools for data pre-processing, classification, clustering and visualization, among others. Development on Weka began in the early 1990s and it is extensively documented.

Documentation

Creator(s): University of Waikato Machine Learning Group

Creator's Site: http://www.cs.waikato.ac.nz/ml/index.html

Creator's Email:

Repository:

Attributes

Type of analysis: Visualization Analysis
Type of license: Free
Ease of Use: Moderate
Usage: Widely Used
Historic Tool (developed before 2005): Influential
TaDiRAH Goals: Analysis
TaDiRAH Methods: Other (analysis) Statistical Analysis Visualization

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Comments

Amy Dyrbye

Weka also appears in Project Bamboo's DiRT, a registry of digital tools suitable for academic research. DiRT contains a wide range of tools and software searchable by task, such as annotation, content management, collaborative research, or authoring. It is an excellent resource for Digital Humanists seeking the right tool for the task at hand.

View Weka in DiRT:

http://dirt.projectbamboo.org/resources/weka

View the full site:

http://dirt.projectbamboo.org/

Bennett Kuwan Tchoh

Weka was used in these research abstracts https://dh2016.adho.org/abstracts/128

https://dh2016.adho.org/abstracts/56

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