About the RDataMining Group
This is a group for discussions on using R for data mining. Questions, experiences, examples, resources and job opportunities on this topic are welcome.
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GovHack 2013, in all major Australian cities, 1-2 June 2013
On Saturday & Sunday, 1-2 June 2013, all over Australia, hundreds of hackers will join together to form teams and work to create the best...
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So many R Packages Everywhere, which one do I use? #rstats decisionstats.com
Some thoughts on R Packages CRAN is no longer the sole repository for...
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Vote in the KDnuggets poll on Analytics Software blog.revolutionanalytics.com
The 14th annual KDnuggets poll measuring use of analytics software is...
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Get your questions answered about Open Data
The OpenData StackExchange site has just launched in beta, and looks...
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Big Data Republic's list of Top 20 Big Data Accounts on Twitter
I'm very proud to have been selected today for Big Data Republic's...
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我们的视频推荐系统架构图 docs.google.com
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How to choose an analytic tool? datasciencecentral.com
What criteria do you use for selection, how do you weight various...
Most Popular Discussions
Steps of garch using R
Hello Experts,
Can you please suggest me some reference material of garch using R for uni variate data? I haven't used garch ...

Social Network Analysis Labs in R and SoNIA -- heaps of R code for SNA
Social Network Analysis Labs in R and SoNIA -- heaps of R code for SNA
URL: http://sna.stanford.edu/rlabs.phpChapters
1. ...

Large-scale network analysis (with package igraph)
Slides on Large-scale network analysis (with package igraph) are available at link below, which provides an introduction into igraph and ...

Decision tree split
Hi all,
I am trying to build Decision tree first time. I am trying to understand few of then.
asRules(rpart(Kyphosis ~ Start,data = ...

Modeling suggestions?
Currently I am considering a descriptive approach with a cluster and association analysis for my project.
- more than 1.000.000 ...

Lecture videos on Statistical Aspects of Data Mining with R
Five-hour lecture videos on Statistical Aspects of Data Mining with R
http://www.youtube.com/watch?list=PLncs4sEkVKBr_ZIAMtHXWu0Fufx ...
Statistical Aspects of Data Mining with R architects.dzone.com
David Mease's "Statistical Aspects of Data Mining" course, taught a few years back at both Stanford and Google, is a great introduction to data mining and R. (Much better, in fact, than a lot of more recent material. It's an...

The R user conference 2013
I am planning to participate in this conference to present my poster? Who else is participating in this conference from this group? Hope ...

Calender Heatmap using R with Google Analytics data
Guys,
With inspiration from Ajay Ohri, I wrote this small piece of blog to generate calender heatmap using Google Analytics e-commerce ...
Calender Heatmap with Google Analytics Data tatvic.com
This blogpost helps you generate the calender heatmap for your e-commerce store to identify how the trending patterns exist for transactions &...

Exporting Decision tree rules in R
Anybody has an idea how to exporting decision tree rules which we get from rpart and ctree.
Also let me know any other ways/ packages ...

Help on getting retweets with R and Twitter API v1.1
I'd like to track the path in which a tweet below was retweeted, which seems not supported by the twitteR package yet. Therefore I tried ...

Introduction to Data Science, a free online course started on May 1st
Introduction to Data Science, a free online course on Coursera already started on May 1st URL: https://www.coursera.org/course/datasci ...

Applied Predictive Modeling by Max Kuhn and Kjell Johnson
Max Kuhn is the author of the awesome package "caret"
Applied Predictive Modeling appliedpredictivemodeling.com
This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an...

AIC & BIC vs. Crossvalidation r-bloggers.com
Model selection is a process of seeking the model in a set of candidate models that gives the best balance between model fit and complexity (Burnham & Anderson 2002). I have always used AIC for that....

Twitter follower map
Thanks to the twitterMap() function, it is now very very simple to produce a map of Twitter followers.
See a follower map of ...
