A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
A geometric approach to feature selection
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
From decision tables to expert system shells
Data & Knowledge Engineering
On the validation and verification of production systems: a graph reduction approach
International Journal of Human-Computer Studies - Special issue: verification and validation
The relationship between errors and size in knowledge-based systems
International Journal of Human-Computer Studies - Special issue: verification and validation
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Validating and Verifying Knowledge-Based Systems
Validating and Verifying Knowledge-Based Systems
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
On Correctness of the Production Decision Model Based on the Decision Tables
Automation and Remote Control
Feature Selection via Discretization
IEEE Transactions on Knowledge and Data Engineering
Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic
Artificial Intelligence Review
EUROVAV '99 Collected papers from the 5th European Symposium on Validation and Verification of Knowledge Based Systems - Theory, Tools and Practice
Modelling Decision Tables from Data
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Feature Selection Via Mathematical Programming
INFORMS Journal on Computing
Feature Selection in Web Applications By ROC Inflections and Powerset Pruning
SAINT '01 Proceedings of the 2001 Symposium on Applications and the Internet (SAINT 2001)
The Hausdor_ Distance Measure for Feature Selection in Learning Applications
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Feature construction for reduction of tabular knowledge-based systems
Information Sciences—Informatics and Computer Science: An International Journal
Information Technology and Management
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Tabular knowledge-based systems are known to be extremely versatile for verification and validation of knowledge bases. However, a major disadvantage of these systems is the combinatorial explosion that accompanies addition of new attributes or condition entries in the table. One of the means of alleviating this problem in tabular knowledge-based systems is through modularization, which is the process of breaking a big comprehensive table into smaller tables that are easy to deal with. In this study, we propose and illustrate another means to deal with this problem through use of feature selection methodology. The proposed method can be used synergistically with modularization to alleviate problems associated with combinatorial explosion in tabular knowledge bases.