C4.5: programs for machine learning
C4.5: programs for 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 set approach to incomplete information systems
Information Sciences: an International Journal
On the emulation of flowcharts by decision tables
Communications of the ACM
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
About the incremental validation of first-order stratified knowledge-based decision-support systems
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
Feature Transformation by Function Decomposition
IEEE Intelligent Systems
Data-Driven Constructive Induction
IEEE Intelligent Systems
A Relevancy Filter for Constructive Induction
IEEE Intelligent Systems
Feature Space Transformation Using Genetic Algorithms
IEEE Intelligent Systems
Machine Learning
Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic
Artificial Intelligence Review
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
EUROVAV '99 Collected papers from the 5th European Symposium on Validation and Verification of Knowledge Based Systems - Theory, Tools and Practice
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Modelling Decision Tables from Data
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Extraction and representation of contextual information for knowledge discovery in texts
Information Sciences—Informatics and Computer Science: An International Journal
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
A multi-level conceptual data reduction approach based on the Lukasiewicz implication
Information Sciences: an International Journal - Special issue: Information technology
Constructive induction on decision trees
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Feature Selection for Reduction of Tabular Knowledge-Based Systems
Information Technology and Management
Expert Systems with Applications: An International Journal
Strengthening learning algorithms by feature discovery
Information Sciences: an International Journal
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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 construction methodology. The proposed method can be used synergistically with modularization to alleviate problems associated with combinatorial explosion in tabular knowledge bases.