Data Mining, Down Under » Software

PMML Tree Model to Code Converter

Shane Butler — Sat, 30 Jan 2010 00:33:58 +0000

Lately I’ve been trying to come up with a generic way to deploy models on any platform. So I’d like to share some early code that takes a PMML TreeModel and converts it to R code. The intention is to get the R code generation working right, then extend to support generation for other languages. Anyway, here it is (remember — early alpha, very rough still!!). Updates to follow soon!

PMML 4.0 Released

Shane Butler — Thu, 18 Jun 2009 09:50:37 +0000

The DMG has released a new version of the PMML open format for representing predictive models. The new version includes support for ensembles, new model types and more built in functions to name just a few of the enhancements. For a detailed summary, see the Zementis blog.

RapidMiner to get dual GUIs

Shane Butler — Wed, 13 May 2009 16:55:44 +0000

A forum post by Ingo Mierswa of Rapid-I indicates the upcoming RapidMiner v5 will feature two GUIs: the existing tree-based designer and a new graph-based designer! I’m quite excited about this because I’ve personally found the existing UI a bit clunky. Details and screenshots over at the
user forum.

SAS hints at future R integration

Shane Butler — Tue, 17 Feb 2009 11:03:23 +0000

In more R news, it appears SAS isn’t as worried about airplane safety as originally thought, and has indicated they will include R support in an upcoming update to the SAS/IML product. For details see NYTimes & Adventures in Consulting.

R in the New York Times

Shane Butler — Thu, 08 Jan 2009 02:32:17 +0000

The New York Times has an interesting story on the increasing use of R for data analysis within academia and industry. Several large corporates are cited as having selected R over commercial conterparts such as S and SAS.

[via Slashdot]

Update: For more R news, see also Ajay Ohri’s interview with Dr Graham Williams, the author of Rattle.

RapidMiner 4.3 Released

Shane Butler — Fri, 28 Nov 2008 04:19:56 +0000

Rapid-I has released an new and improved version of the open source data mining suite RapidMiner (formely called YALE). I’ve been evaluating RapidMiner lately as a possible addition to my data mining toolbox. I’ve found the biggest hurdle in learning how to use it is probably the GUI. It is a tree-based GUI which I find much harder to understand than the graph-style approach used by many others. However RapidMiner is quite a powerful tool, and the Community Edition is free, so there is probably a lot of benefit in getting used to the strange GUI.

The built in tutorial is a really good way to get a grasp of the system and I highly recommend spending some time on this if you are interested in learning RapidMiner. I would also recommend a series of RapidMiner video turtorials over at Neural Market Trends that are worth checking out too.

RapidMiner 4.3 includes a 3D lift chart

SAS Forum (Australia) presentations available online

Shane Butler — Mon, 29 Sep 2008 23:30:52 +0000

The SAS Forum (Australia) was held in Sydney back in August. I was unable to attend but luckily the presentations have been put online. Here are some that I found interesting:

Make Sure Your Insight is Insightful: Analytical Marketing at NAB by Antony Ugoni (National Australia Bank)
Model Deployment and Management – The ATO Story by Warwick Graco (Australian Taxation Office)
Putting Cheques in Place to Identify Fraud by Dr Paul Bracewell (Offlode NZ) and Flavio Palaci (Marsh Australia)
Customer Value Creation Using Analytics by Arun VS (Satyam)
Analysing Performance and Tuning your SAS Application by Bill Gibson (SAS)

Data Mining with Oracle

Shane Butler — Tue, 30 May 2006 11:45:32 +0000

If you are interested in data mining and haven’t already seen the Oracle Data Mining and Analytics blog, it is worth checking out. It has some great how to’s, including time series forcasting (parts 1, 2, 3) and real-time scoring & model management (parts 1, 2, 3).

Getting to know R Graphs

Shane Butler — Fri, 07 Apr 2006 01:09:05 +0000

Check out the R Graph Gallery which includes not only detailed descriptions of graphs you can produce in R, but also R source! Props to Martin for the link.

YALE Data Mining Environment

Shane Butler — Fri, 24 Mar 2006 04:06:55 +0000

YALE is a data mining and machine learning environment that integrates WEKA and some other SVM related tools into one GUI tool. Looks pretty spiffy – the GUI looks much better than Weka’s, and its Java/cross-platform also. Screenshots here.