A threshold of ln n for approximating set cover (preliminary version)
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
A tight analysis of the greedy algorithm for set cover
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
&agr;-RST: a generalization of rough set theory
Information Sciences—Informatics and Computer Science: An International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Approximate Reducts and Association Rules - Correspondence and Complexity Results
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Fundamenta Informaticae
Approximation algorithms for set cover and related problems
Approximation algorithms for set cover and related problems
Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis
Fundamenta Informaticae
Ensembles of Classifiers Based on Approximate Reducts
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P'2000)
On partial covers, reducts and decision rules with weights
Transactions on rough sets VI
Universal Attribute Reduction Problem
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Universal Problem of Attribute Reduction
Transactions on Rough Sets IX
Greedy Algorithm for Construction of Partial Association Rules
Fundamenta Informaticae
On Construction of Partial Association Rules
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Lower bounds on minimal weight of partial reducts and partial decision rules
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Greedy Algorithm for Construction of Partial Association Rules
Fundamenta Informaticae
Greedy Algorithm for Attribute Reduction
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
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In the paper, the accuracy of greedy algorithms for construction of partial covers, reducts and decision rules is considered. Bounds on the minimal complexity of partial covers, reducts and decision rules based on an information about greedy algorithm work are studied. The results of experiments with greedy algorithms are described.