文件列表:

Source\build.xml (3367, 2006-07-03)
Source\build (0, 2007-09-05)
Source\build\classes (0, 2007-09-05)
Source\build\classes\weka (0, 2007-09-05)
Source\build\classes\weka\classifiers (0, 2007-09-05)
Source\build\classes\weka\classifiers\trees (0, 2007-09-05)
Source\build\classes\weka\classifiers\trees\BWPTree.class (2695, 2006-07-04)
Source\build\classes\weka\classifiers\trees\bwptree (0, 2007-09-05)
Source\build\classes\weka\classifiers\trees\bwptree\Node.class (6166, 2006-07-03)
Source\build\classes\weka\filters (0, 2007-09-05)
Source\build\classes\weka\filters\supervised (0, 2007-09-05)
Source\build\classes\weka\filters\supervised\attribute (0, 2007-09-05)
Source\build\classes\weka\filters\supervised\attribute\EntroDiscretize.class (8501, 2006-07-03)
Source\dist (0, 2007-09-05)
Source\dist\SpamFilter.jar (10748, 2006-07-03)
Source\manifest.mf (85, 2006-07-03)
Source\nbproject (0, 2007-09-05)
Source\nbproject\build-impl.xml (23941, 2006-07-03)
Source\nbproject\genfiles.properties (455, 2006-07-03)
Source\nbproject\private (0, 2007-09-05)
Source\nbproject\private\private.properties (157, 2006-07-03)
Source\nbproject\private\private.xml (211, 2006-07-04)
Source\nbproject\project.properties (1708, 2006-07-03)
Source\nbproject\project.xml (578, 2006-07-03)
Source\RunWEKAML.bat (68, 2006-07-03)
Source\src (0, 2007-09-05)
Source\src\weka (0, 2007-09-05)
Source\src\weka\classifiers (0, 2007-09-05)
Source\src\weka\classifiers\trees (0, 2007-09-05)
Source\src\weka\classifiers\trees\BWPTree.java (3821, 2006-07-04)
Source\src\weka\classifiers\trees\bwptree (0, 2007-09-05)
Source\src\weka\classifiers\trees\bwptree\Node.java (10202, 2006-07-04)
Source\src\weka\filters (0, 2007-09-05)
Source\src\weka\filters\supervised (0, 2007-09-05)
Source\src\weka\filters\supervised\attribute (0, 2007-09-05)
Source\src\weka\filters\supervised\attribute\EntroDiscretize.java (11216, 2006-07-03)
Source\test (0, 2007-09-05)

This code implements a Supervised Discretizer Filter Algorithm and a Decision Tree Classifier based on ID3 with pre-pruning. It was developed by Bruno Woltzenlogel Paleo (bruno.wp@gmail.com ; http://planeta.terra.com.br/arte/lua/) and Matthias Kirmse, as a project for the Machine Learning course in the summer semester 2006 at the Technische Universitt Dresden (Germany). The goal of the project was to build a spam filter system, but the code we developed is general, in accordance to WEKA's framework, and thus applicable to other problems. To use this code within WEKA's GUI, follow the steps: 1) Copy "RunWEKAML.bat" and "dist\SpamFilter.jar" to root folder of WEKA. 2) Execute "RunWEKAML.bat". In case of any doubts or bugs, please feel free to contact us.

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