New: RapidMiner 4.2

Hello,

I just want to announce that we have published a new release of RapidMiner a few days (weeks?) ago: RapidMiner 4.2.

New Release: RapidMiner 4.2

This release is a minor bugfix (only 5 bugs this time) and feature release. We started to concentrate more on large-scale data mining problems and hence improved the access to databases is improved (constant access times) and revised several data mining algorithms leading to a boost in run time of up to an factor of 13. Several unnecessary data scans were removed leading to further reduced runtimes. We also added some new features, including

Aggregations in multiple dimensions
Better support for date type
Histogram plotters now support jittering and log scales
Statistics for larger data sets are now only calculated on request
Several plotters now support the plotting of absolute values and / or sorting according to the plotted column
One-Class SVM for LibSVMLearner now properly supported
New operators GroupModel and UngroupModel replace the automatic building of ContainerModels (merging preprocessing with prediction models) and hence give the user more control over the model building / grouping
AttributeSubsetPreprocessing now supports the inversion of the specified regular expression
AttributeSubsetPreprocessing can now be applied on subsets defined similarly to the new AttributeFilter operator
The database example set writer now supports new overwriting / appending modes

Download

The new version and all RapidMiner plugins are available at

http://rapid-i.com

Small Enterprise Edition

Another good news for smaller companies or single users: we now also provide the RapidMiner Enterprise Edition as a new Small Enterprise Edition which was designed especially for smaller companies / organisations or single users. Check out the details at the Enterprise Edition feature page.

Please post comments and requests in this thread.

Cheers,
Ingo