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François Rioult, 23/06/2010 22:08

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h1. Documentation
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KDAriane is a set of operators for data mining and machine learning, and a set of scenarios (supervised classification, missing values completion, strong emerging pattern mining, etc.). It uses Ariane as a graphical platform for designing the data streams.
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h2. Installation
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* [[Prerequisite]]
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* [[KDAriane]] 
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h2. Special operators for shell scripting
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KDAriane is provided with basic components for executing shell scripts. The choice depends on how many parameters (p), input (i)  and output (o) you want. The operators are named 
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@"eval" + p + i + o @ and call the eponymous .sh script.
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When an operator is executed, Ariane launches the script (for example @script.sh@) associated to the operator with giving the following arguments:
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<pre>
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script.sh parameter-1 parameter-2 ... parameter-p input-1 input-2 ... input-i output-1 output-2 ... output-o
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</pre>
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In Ariane, every operator has a return value, even if it has no output.
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The operator are divided in two categories: 
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* [[KDD operators]] are special components for calling Weka components, RapidMiner processes or MVminer binaries.
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* [[Shell operators]] that directly execute the commands entered by Ariane. 
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h2. Scenarios
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KDAriane provides some examples of KDD realized through Ariane:
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* [[Data preparation]] : a first scenario for the binarization of CSV data.
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* pattern mining and complexity visualization
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* supervised classification with association rules
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* experiences about perturbation on training and test file with Weka classifiers and RapidMiner processes.