# Data Mining with WEKA

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**Software for Exploratory Data Analysis and Statistical Modelling**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

There are a number of good open source projects for statistics and data mining, for example the software WEKA developed at the University of Waikato.

The description on their website states that:

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.

The software is written in Java and available under the GNU General Public Licence. The website also provides access to data sets from the UCI Machine Learning website for use with WEKA.

To

**leave a comment**for the author, please follow the link and comment on their blog:**Software for Exploratory Data Analysis and Statistical Modelling**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.