[kepler-users] WEKA and CDK integration

[Tim Van den Bulcke]

Hi Joseph,

I think this is an excellent idea, it would greatly increase the number 
of available data mining algorithms under Kepler and benefit from all 
current and future developments in Weka.

I am not a weka specialist, but as far as I know, Weka uses standard 
interfaces for most of its components and algorithms (e.g. one interface 
for all classifiers, one for all filters, ... ), so it should be 
possible to write some fairly generic wrapper(s) to incorporate weka 
functionality into Kepler.

There is another machine learning package "RapidMiner" (the former 
"Yale") (http://rapid-i.com/, http://sourceforge.net/projects/yale) 
which extends Weka, it might be useful to look into that to see how they 
have incorporated Weka or even use this as a basis for incorporation 
into Kepler.

Kind regards!

Tim.



Josep Maria Campanera Alsina wrote:

> Hi all again,
> I'd like to know if there are any plan in the kepler project related 
> to two very useful Java open source tools:
>
> - WEKA, http://www.cs.waikato.ac.nz/ml/weka/ 
> <http://www.cs.waikato.ac.nz/ml/weka/> . The most known and popular 
> Java library for data mining.
> - CDK - The chemistry development kit, http://cdk.sourceforge.net . 
> Java library for structural chemo- and bioinformatics .
>
> In other words,
> (1) Are there any plan to integrate them into kepler core in the near 
> future?
> (2) Are there any kepler workflow available that already uses these 
> tools?
> (3) What would the strategy be to integrate them into the platforms, I 
> mean since they are in JAVA are there any "easy" standard procedure to 
> implement/embed them into Kepler?
>
> Hopefully, we will see these useful tools embed in to kepler soon!
>
> Thanks a lot,
>
> Josep Maria,
>
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