CACrown ArchivesThe cinema collection
Menu
Research dossier · Science & Nature

Weka (software)

suite of machine learning software written in Java

Specimen drawers, botanical folios and brass scientific instruments under study light
Science and natureInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionAug 17, 2026
Entity authorityQ115494
Source-derived summary

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".

Description

Weka contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to these functions. The original non-Java version of Weka was a Tcl/Tk front-end to (mostly third-party) modeling algorithms implemented in other programming languages, plus data preprocessing utilities in C, and a makefile-based system for running machine learning experiments. This original version was primarily designed as a tool for analyzing data from agricultural domains, but the more recent fully Java-based version (Weka 3), for which development started in 1997, is now used in many different application areas, in particular for educational purposes and research. Advantages of Weka include:

Free availability under the GNU General Public License.

Portability, since it is fully implemented in the Java programming language and thus runs on almost any modern computing platform.

A comprehensive collection of data preprocessing and modeling techniques.

Ease of use due to its graphical user interfaces.

Weka supports several standard data mining tasks, more specifically, data preprocessing, clustering, classification, regression, visualization, and feature selection.

Editorial summary

This brief starts where responsible research should: with the source description of “Weka (software)” as suite of machine learning software written in Java. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewA practical orientation to terminology and classification, particularly when read beside dated observations, specimens or technical literature. The current lead gives the account dated anchors—1997—that can be checked directly. The selected authority fields contribute no independent date. The account is most persuasive where Weka, software and suite can be independently traced.
Editorial analysis

Why this record matters

The subject matters to the science & nature register because the source frames it as suite of machine learning software written in Java. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

Datasets, specimens, observations and peer-reviewed methods provide the appropriate test for the technical claims summarized here. The source revision retrieved here is dated Aug 17, 2026. The linked authority identifier is Q115494. 2 of 2 selected statements include explicit references; 2 carry qualifiers and 1 use preferred rank. The first chronological checks are 1997.

Critical limits

Scientific names, classifications and consensus can change while older terminology persists in catalogues and historical literature. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.

Best used for
  • Current terminology
  • Classification context
  • Finding cited technical literature
Verify next

Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.

Three-step research path

  1. Establish the record: confirm the title “Weka (software)”, its source revision and the description used here.
  2. Expand the search: follow Weka (software) primary sources, Weka (software) archive and Weka research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Weka (software)”?
  2. Has classification or technical consensus changed since the cited source?
  3. Is the terminology current, historical or disputed?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Weka (software)” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.