KDAriane

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. Demonstration

You can watch the [[short demonstration of KDAriane]].

h2. Installation

* [[Prerequisite]]

* [[KDAriane]] 

h2. Tutorial

You can read the document [[Data preparation]] for a first contact with @KDAriane@.

h2. Scenarios

In the @sample@ folder, @KDAriane@ provides some examples of KDD scenarios:

* [[Data preparation]]: a first scenario for the binarization of CSV data.

* [[Data mining complexity]]: pattern mining and complexity visualization

* [[CMAR]]: supervised classification with association rules [1]

[[Data preparation with command line]]

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.

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-p input-1 ... input-i output-1 ... output-o

</pre>

See [[Eval operators]] for shell scripting or calling binaries.

h2. Operators

The operator are divided in three categories: 

* [[Eval operators]] that directly execute the commands entered by Ariane. 

* [[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

KDAriane uses some specific prototypes: 

* [[music-dfs]] : mining patterns under various constraints

* [[mtminer]] : levelwise minimal transversals of hypergraph

* [[mvminer]] : mining delta-free patterns in presence of missing values

h2. Routines

Routines are complex streams that Ariane allows you to share.

* [[shell routines]]

* [[routines for missing values ]]

* [[KDD routines]]

h2. To-do

* sous-projet members

* unifier options mvminer

h2. Appendix

h3. Utilities

* [[gnuplot]]: plotting data with GNUplot

* [[score]] : computing validation values from a decision file

* [[complement]] :

* [[dictionary]] :

* [[segmentation]] :

h3. References