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RSFDGRC
2005
Springer

Feature Selection with Adjustable Criteria

9 years 8 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) considers the overall quality of the potential set of rules. It will produce a set of rules with balanced support distribution over all decision classes. Adjustable parameters of PASH can help users with different levels of approximation needs to extract predictive rules that may be ignored by other methods. This paper finetunes the PASH heuristic and provides experimental results to PASH.
Jingtao Yao, Ming Zhang
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where RSFDGRC
Authors Jingtao Yao, Ming Zhang
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