[kepler-users] How to integrate Weka into Kepler?

[Josep Maria Campanera Alsina]

Dear Community,
I'd like to integrate Weka 3.5.7 into the Kepler environment. Weka is
the most well-known data mining library. It is written in Java
http://www.cs.waikato.ac.nz/ml/weka/.
I consider this software extremely useful and it would add numerous
capabilities to Kepler, like R did! Weka includes: data sources,
Datasinks, filters, classifiers, clusterers, associations, evaluation
and visualization tools! to sum up, It is another piece of jewellery
like kepler!

Well, there several ways to do that:
(1) Using the RWeka project.
http://cran.r-project.org/web/packages/RWeka/index.html
Then the Weka algorithms can be called like R commands in the R
console actor of Kepler. However it doesn't seem the more powerful way
since Weka algorithms are also designed to run under a workflow
environment (KnowledgeFlow environment).

(2) Fully integrated: each Weka algorithm is converted to a Kepler
actor. Here comes my advice request. Which is the more efficient way
to undertake that process? Weka is open source software issued under
the GNU General Public License. So, java and class files for each
algorithm are completely available. Since I'm not a computer scientist
the only idea that comes to my mind is to embed/add the Weka java code
into the standard anatomy of a java Kepler actor code (ports,
parameters, action methods ...). Definitely this is a very tedious and
never ending task (it has to be done individually for each algorithm).
An ideas how to tackle that? Anyone can envisage a faster and more
systematic alternative?

Best wishes,

Josep Maria,


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Josep Maria Campanera Alsina
Juan de la Cierva Researcher
Departament de Fisicoquímica
Facultat de Farmàcia
Avgda Joan XXIII, s/n
08028 Barcelona · Catalonia · Spain
Tel: +34 93 4035988
Fax: +34 93 4035987
campanera at ub.edu
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