Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

February 7, 2011

Weka – Data Mining

Filed under: Mahout,Natural Language Processing — Patrick Durusau @ 7:10 am

Weka

From the website:

Weka 3: Data Mining Software in Java

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.

I would say it is under active development/use since the mailing list archives have an average of about 315 posts per month.

Yes, approximately 315 post per month.

Another tool for your topic map toolbox!

2 Comments

  1. […] This post was mentioned on Twitter by Kristof Coussement, Patrick Durusau. Patrick Durusau said: Weka – Data Mining, http://bit.ly/eSXZNi #topicmaps #nlp […]

    Pingback by Tweets that mention Weka – Data Mining « Another Word For It -- Topsy.com — February 7, 2011 @ 10:08 am

  2. Hello. Yesterday I found two new books about Data mining. These series of books entitled by ‘Data Mining’ address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters.The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. Books are: “New Fundamental Technologies in Data Mining” here http://www.intechopen.com/books/show/title/new-fundamental-technologies-in-data-mining & “Knowledge-Oriented Applications in Data Mining” here http://www.intechopen.com/books/show/title/knowledge-oriented-applications-in-data-mining These are open access books so you can download it for free or just read on online reading platform like I do. Cheers!

    Comment by milly — February 28, 2011 @ 4:14 am

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