Lattice model of browsable data spaces
Information Sciences: an International Journal
Building and maintaining analysis-level class hierarchies using Galois Lattices
OOPSLA '93 Proceedings of the eighth annual conference on Object-oriented programming systems, languages, and applications
ACM Computing Surveys (CSUR)
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
Complexity Reduction in Lattice-Based Information Retrieval
Information Retrieval
On stability of a formal concept
Annals of Mathematics and Artificial Intelligence
Relations of attribute reduction between object and property oriented concept lattices
Knowledge-Based Systems
Some decision and counting problems of the Duquenne-Guigues basis of implications
Discrete Applied Mathematics
Engineering Applications of Artificial Intelligence
Formal concept analysis with background knowledge: attribute priorities
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
Conceptual and statistical footprints for social networks' characterization
Proceedings of the 3rd Workshop on Social Network Mining and Analysis
Analysis of social communities with iceberg and stability-based concept lattices
ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis
A novel approach to attribute reduction in formal concept lattices
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Towards concise representation for taxonomies of epistemic communities
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Formal concept analysis in knowledge discovery: a survey
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Incremental construction of alpha lattices and association rules
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
A heuristic knowledge-reduction method for decision formal contexts
Computers & Mathematics with Applications
On the complexity of enumerating pseudo-intents
Discrete Applied Mathematics
Knowledge reduction in decision formal contexts
Knowledge-Based Systems
Selecting important concepts using weights
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Some complexity results about essential closed sets
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Approaches to the selection of relevant concepts in the case of noisy data
ICFCA'10 Proceedings of the 8th international conference on Formal Concept Analysis
Approaches to knowledge reduction in generalized consistent decision formal context
Mathematical and Computer Modelling: An International Journal
Survey of clustering algorithms
IEEE Transactions on Neural Networks
Extracting reducible knowledge from ANN with JBOS and FCANN approaches
Expert Systems with Applications: An International Journal
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This work presents results from an experiment used to assess the JBOS (junction based on objects similarity) reduction method. Two reductions were made of a formal context about patients having symptoms in a tuberculosis data base. The first reduction used the knowledge expressed in the original formal context and the second used the knowledge expressed in expert rules. The assessment was made, in the first case, by comparison of the performances of the sets of extracted rules (stem bases) before and after the reduction, and in the second case, by comparison of the performances of the set of extracted rules after reduction with that of the expert rules. The performance in the first case was exactly the same as before reduction. In the second case the performance even improved, showing that the weighting process, besides incorporating the expert knowledge, resulted in rules well adjusted to the knowledge expressed in the original formal context. So, both reductions resulted in rule sets absolutely consistent with the original ones. The expert rules, FCA rules and both set of rules obtained after reduction were used also to classify patients of a validation set. In this case, the results have shown that the performance was the same before and after reduction. Therefore, it was shown that by means of an appropriate attributes weight assignment it is possible, by the JBOS method, to achieve a suitable level of performance in a specific task after reduction.