Rough concept analysis: a synthesis of rough sets and formal concept analysis
Fundamenta Informaticae - Special issue: rough sets
Algebraic aspects of attribute dependencies in information systems
Fundamenta Informaticae
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough set methods and applications: new developments in knowledge discovery in information systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic
Artificial Intelligence Review
Rough Sets and Concept Lattices
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Formal Concept Analysis: Foundations and Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Fuzzy inference based on fuzzy concept lattice
Fuzzy Sets and Systems
Relations of attribute reduction between object and property oriented concept lattices
Knowledge-Based Systems
The Reduction Theory of Object Oriented Concept Lattices and Property Oriented Concept Lattices
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Granular Computing and Knowledge Reduction in Formal Contexts
IEEE Transactions on Knowledge and Data Engineering
Guest editorial: Recent advancements of fuzzy sets: Theory and practice
Information Sciences: an International Journal
Variable threshold concept lattice and dependence space
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
A partitional view of concept lattice
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Knowledge reduction in decision formal contexts
Knowledge-Based Systems
Multi knowledge based rough approximations and applications
Knowledge-Based Systems
Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis
Knowledge-Based Systems
Research on domain ontology in different granulations based on concept lattice
Knowledge-Based Systems
Attribute Reduction in Formal Contexts: A Covering Rough Set Approach
Fundamenta Informaticae - Knowledge Technology
On multi-adjoint concept lattices based on heterogeneous conjunctors
Fuzzy Sets and Systems
A novel soft set approach in selecting clustering attribute
Knowledge-Based Systems
International Journal of Approximate Reasoning
Rough set model based on formal concept analysis
Information Sciences: an International Journal
Knowledge-Based Systems
On the classification of fuzzy-attributes in multi-adjoint concept lattices
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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One of the key problems of knowledge discovery is knowledge reduction. Rough set theory and the theory of concept lattices are two efficient tools for knowledge discovery. Attribute reduction based on rough set theory and the theory of concept lattices both have been researched. Since an information system, the data description of rough set theory, and a formal context, the data description of concept lattice theory, can be taken as the other one, the attribute reduction based on the same data base can be studied from these two perspectives, and researching their relation is significant. This paper mainly discusses the relation between concept lattice reduction and rough set reduction based on classical formal context, which will be meaningful for the relation research between these two theories, and for their knowledge discovery.