Documentation » Historique » Révision 21
Révision 20 (François Rioult, 31/01/2011 18:50) → Révision 21/37 (François Rioult, 31/01/2011 19:49)
h1. Documentation 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. h2. Installation * [[Prerequisite]] * [[KDAriane]] h2. How is Ariane working? Ariane is a graphical platform for designing image processing streams. Ariane works with graphical operators, and allows to build loops and while. "Go to the Aiane dedicated site":http://www.greyc.ensicaen.fr/~regis/Ariane/ for a full documentation about Ariane. h2. How is KDAriane working? working KDAriane is provided with basic components for executing shell scripts. When an operator is executed, Ariane launches the script with giving the following arguments: <pre> script.sh parameter-1 parameter-2 ... parameter-p input-1 input-2 ... input-i output-1 output-2 ... output-o </pre> See [[Special operators for shell scripting]] for more details. The operator are divided in two categories: * [[KDD operators]] are special components for calling Weka components or RapidMiner processes. * [[Shell operators]] that directly execute the commands entered by Ariane. h2. Pattern mining prototypes * [[music-dfs]] : mining patterns under various constraints * [[mtminer]] : levelwise minimal transversals of hypergraph h2. Scenarios KDAriane provides some examples of KDD realized through Ariane: * [[Data preparation]] : a first scenario for the binarization of CSV data. * pattern mining and complexity visualization * supervised classification with association rules * experiences about perturbation on training and test file with Weka classifiers and RapidMiner processes.