Talk:Weka (software)

This is the talk page for discussing improvements to the Weka (software) article.
This is not a forum for general discussion of the article's subject.

Put new text under old text. Click here to start a new topic.
New to Wikipedia? Welcome! Learn to edit; get help.

Article policies

Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL

Java Low‑importance

	This article is within the scope of WikiProject Java, a collaborative effort to improve the coverage of Java on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.JavaWikipedia:WikiProject JavaTemplate:WikiProject JavaJava articles
Low	This article has been rated as Low-importance on the project's importance scale.

Robotics Low‑importance

	This article is within the scope of WikiProject Robotics, a collaborative effort to improve the coverage of Robotics on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.RoboticsWikipedia:WikiProject RoboticsTemplate:WikiProject RoboticsRobotics articles
Low	This article has been rated as Low-importance on the project's importance scale.

Pentaho "acquires" Weka

Pentaho did not "acquire" Weka. Pentaho just acquired an exclusive license for Weka for the field of business intelligence. Weka was developped by and still belongs to University of Waikato, New Zealand, which makes licenses available to other parties through its subsidary WaikatoLink.

An encyclopedia should be more precise and not just repeat and copy the terms of the press texts of a company like Pentaho, even if many news articles are not that precise. I suggest to re-phrase and correct the corresponding parts of the Weka article.

Relevance of this article

Article should not be deleted. It needs expansion. Weka is part of machine learning curriculum in many universities. It is also among the few openly available toolkits to test machine learning algorithms (bayes, j48, ZeroR, OneR) on sample data sets, create models and apply the learnt models on new test sets of data. Applications for this include economics, bio informatics and other fields with large amounts of data.

A simple google will tell you popular this is: google for: weka applications filetype:pdf

If you want your data sets to run this on, they are also available.

I've extended the stub, including references, etc. --Fracpete 05:46, 25 June 2007 (UTC)[reply]

AFD debate link

This article has been kept following this AFD debate. Sjakkalle (Check!) 10:43, 30 January 2006 (UTC)[reply]

Not Spam

This is an obvious spam article that reads like an advert for a particular software product. DigitalEnthusiast 20:53, 5 December 2006 (UTC)[reply]

Definitely not spam; MAYBE tag it with {{advert}}. Veinor (ヴエノル^(talk)) 21:01, 5 December 2006 (UTC)[reply]

I don't see why you consider this spam. Weka is a well-known and widely-used system. The article can no doubt be improved, but the system itself is undoubtedly notable. --Macrakis 21:27, 5 December 2006 (UTC)[reply]

Definitely not spam; WEKA is one of the most widely used open-source data mining software tools. 8 June 2007.

Plus... ....it is free! Nobody is making any money out of it. Mathmo ^Talk 02:04, 11 September 2007 (UTC)[reply]