Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Weka (software)

Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato, New Zealand, and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

History, Description & Related tools

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Weka (software). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
University of Waikato
License
GNU General Public License
Operating system
Windows, macOS, Linux
Platform
IA-32, x86-64, ARM_architecture; Java SE
Preview release
3.9.7 / March 27, 2026; 4 months ago (2026-03-27)
Repository
git.cms.waikato.ac.nz/weka/weka

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Description

History

Related tools

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Weka (software)

Nodes43
Edges42
Triples10
Avg. degree1.95
Density0.046512
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Weka (software)

Top relations

Developer · 1
Weka (software) → University of Waikato
License · 1
Weka (software) → GNU General Public License
Operating system · 1
Weka (software) → Windows, macOS, Linux
Platform · 1
Weka (software) → IA-32, x86-64, ARM_architecture; Java SE
Preview release · 1
Weka (software) → 3.9.7 / March 27, 2026; 4 months ago (2026-03-27)
Repository · 1
Weka (software) → git.cms.waikato.ac.nz/weka/weka
Stable release · 1
Weka (software) → 3.8.7 (stable) / March 27, 2026; 4 months ago (2026-03-27)
Type · 1
Weka (software) → Machine learning
Website · 1
Weka (software) → ml.cms.waikato.ac.nz/weka
Written in · 1
Weka (software) → Java

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

weka data learning machine mining java software waikato university new zealand packages also version analysis collection techniques extension tools gnu

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Weka (software)DeveloperUniversity of Waikato1.00infobox
Weka (software)LicenseGNU General Public License1.00infobox
Weka (software)Operating systemWindows, macOS, Linux1.00infobox
Weka (software)PlatformIA-32, x86-64, ARM_architecture; Java SE1.00infobox
Weka (software)Preview release3.9.7 / March 27, 2026; 4 months ago (2026-03-27)1.00infobox
Weka (software)Repositorygit.cms.waikato.ac.nz/weka/weka1.00infobox
Weka (software)Stable release3.8.7 (stable) / March 27, 2026; 4 months ago (2026-03-27)1.00infobox
Weka (software)TypeMachine learning1.00infobox
Weka (software)Websiteml.cms.waikato.ac.nz/weka1.00infobox
Weka (software)Written inJava1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.