A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
A decision theoretic framework for approximating concepts
International Journal of Man-Machine Studies
Variable precision rough set model
Journal of Computer and System Sciences
Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Knowledge discovery in databases: an attribute-oriented rough set approach
Knowledge discovery in databases: an attribute-oriented rough set approach
Feature selection and effective classifiers
Journal of the American Society for Information Science - Special issue: knowledge discovery and data mining
Using Rough Sets with Heuristics for Feature Selection
Journal of Intelligent Information Systems
Attribute (Feature) Completion - The Theory of Attributes from Data Mining Prospect
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Feature Selection for Unsupervised Learning
The Journal of Machine Learning Research
A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers
A Problem of Dimensionality: A Simple Example
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic rough set approximations
International Journal of Approximate Reasoning
Criteria for choosing a rough set model
Computers & Mathematics with Applications
Financial time-series analysis with rough sets
Applied Soft Computing
Decision-theoretic rough set models
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
A model of user-oriented reduct construction for machine learning
Transactions on rough sets VIII
Incorporating game theory in feature selection for text categorization
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
A rough set approach to feature selection based on relative decision entropy
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
An enhanced support vector machine model for intrusion detection
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Expert Systems with Applications: An International Journal
Webpage classification with ACO-enhanced fuzzy-rough feature selection
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Fundamenta Informaticae - Advances in Rough Set Theory
Feature selection with test cost constraint
International Journal of Approximate Reasoning
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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.