Machine Learning
Machine Learning
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Machine Learning
Conceptual Structures of Multicontexts
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
Formalizing Hypotheses with Concepts
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
The Use of Associative Concepts in the Incremental Building of a Logical Context
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Modal Logic for Evaluating Formulas in Incomplete Contexts
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
Learning of Simple Conceptual Graphs from Positive and Negative Examples
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Pattern Structures and Their Projections
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Theory of Relational Databases
Theory of Relational Databases
Mutual dependencies and some results on undecomposable relations
VLDB '78 Proceedings of the fourth international conference on Very Large Data Bases - Volume 4
Analyzing conflicts with concept-based learning
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
Learning closed sets of labeled graphs for chemical applications
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Supporting Literature Exploration with Granular Knowledge Structures
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Embedding tolerance relations in formal concept analysis: an application in information fusion
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Biclustering numerical data in formal concept analysis
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Two complementary classification methods for designing a concept lattice from interval data
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
Good classification tests as formal concepts
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
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A retrospective survey of several research directions at the All-Soviet (now All-Russia) Institute for Scientific and Technical Information (VINITI), as well as research represented in several VINITI editions, is proposed. In a number of papers of the 1970-1980s, taxonomies (classifications) were naturally considered as lattices. Several problems of classification required consideration of tolerance relations as a model of similarity of objects. Such relations define symmetric formal contexts. A JSM-method of inductive plausible reasoning, which has been developed at VINITI since the early 1980s, is considered in terms of Galois connections and concept lattices. Mathematical research around the JSM-method and its applications is discussed.