Using the symmetrical Tau criterion for feature selection decision tree and neural network learning

Using the symmetrical Tau criterion for feature selection decision tree and neural network learning

The data collected for various domain purposes usually contains some features irrelevant tothe concept being learned. The presence of these features interferes with the learning mechanism and as a result the predicted models tend to be more complex and less accurate. It is important to employ an eff...

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Bibliographic Details
Main Authors: Hadzic, Fedja, Dillon, Tharam S
Other Authors: Huan Liu
Format: Conference Paper
Published: ACM 2006
Subjects:
feature selection
network pruning
rule simplification
Online Access:http://hdl.handle.net/20.500.11937/31352

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