Data mining competition with R

October 8, 2010

(This article was first published on Maximize Productivity with Industrial Engineer and Operations Research Tools, and kindly contributed to R-bloggers)

There is a new data mining competition aimed at predicting preferred data mining tools in R via   The concept of the competition is to try to determine which R packages are preferred in the R community via their CRAN package libraries.  The developers of this new competition are also in the R community with the NY R Users Group.

I am a user of R and I am also a member of the Dallas R Users Group.  As you can imagine I find this competition very interesting because I could benefit greatly from knowing the preferred methods of implementation in the R community.  This can also be a very interesting exercise to determine preferred modeling methods.  I believe this competition will give an insight into the most common methods to apply statistical computing in the community today.

R is getting a lot of press lately.  Revolution Analytics just released the first part of a series of articles on the impacts of R and why it is hot.  R as a statistical and optimization tool is really making a play in the business community.

I am a big fan of these data mining competitions as I’ve written previously.  It is really interesting what you can learn about the world from the competitions especially if you do not have previous knowledge of the subject matter.  I will try to bring up these competitions from time to time.  I would be interested to know if any IEOR Tools readers have participated in these competitions and what was their experience.

To leave a comment for the author, please follow the link and comment on their blog: Maximize Productivity with Industrial Engineer and Operations Research Tools. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)