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Bayesian network

Hello,

How Can i use the Rapid Miner as tool which get as input data table with attributes and give as output the Bayesian network that represent the dependency between these attributes ?

Thanks,

Boris

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land

Hi,
you can just import the data to your local repository and then apply the operator W-BayesNet from the Weka Extension.
If you need a basic understanding of RapidMiner, please take a look at the various introductory you tube videos.

Greetings,
Sebastian

borisrabin

Hi,

W-BayesNet from the Weka Extension is Supervised algorithm , Can you advise me for some unsupervised one.

Thanks,

Boris

land

Hi,
no idea what you are looking for.

Greetings,
Sebastian

borisrabin

Hi ,

I looking for Bayesian network tool/algorithm which get as input table and give as output dependencies between attributes .

Thanks ,

Boris

land

Hi,
actually I still don't know what you mean, since you did not give me any additional information. But in the end I think, you simply won't find it in RapidMiner. But feel free to implement the algorithm yourself and if you like, please contribute it to the community.

Greetings,
Sebastian

borisrabin

Hi,

The name of the topic is : "Learning Bayesian networks from data" .

Thanks,

Boris

magos

Might the package com.rapidminer.operator.learner.bayes be of use for this?

http://rapid-i.com/api/rapidminer-5.1/com/rapidminer/operator/learner/bayes/package-summary.html