C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Machine Learning
An Algorithm for Constructing Decision Tree Based on Variable Precision Rough Set Model
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 01
Evolutionary Rough Feature Selection in Gene Expression Data
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fuzzy control rules extraction from perception-based information using computing with words
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
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In this paper, we propose a novel rough set based algorithm to induce decision trees. To improve the computation efficiency of our algorithm, the rough set based attribute reduction technology is used to filter out the irrelevant attributes from the original set of attributes. And the notions of the significance of attribute and the uniformity of attribute in rough sets are adopted as the heuristic information for the selection of splitting attributes. Moreover, we apply the proposed algorithm to intrusion detection. The experimental results demonstrate that our algorithm can provide competitive solutions efficiently.