Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Simple Concept Graphs: A Logic Approach
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Stepwise Construction of the Dedekind-MacNeille Completion (Research Note)
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Structural Machine Learning with Galois Lattice and Graphs
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Knowledge Representation and Reasonings Based on Graph Homomorphism
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
A Logical Generalization of Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Generalized Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Formalizing Hypotheses with Concepts
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
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
Machine Learning on the Basis of Formal Concept Analysis
Automation and Remote Control
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 Common Outcomes of Communicative Actions Represented by Labeled Graphs
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
Identifying Ecological Traits: A Concrete FCA-Based Approach
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Two FCA-Based Methods for Mining Gene Expression Data
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Efficient Browsing and Update of Complex Data Based on the Decomposition of Contexts
ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
Pattern Structures for Analyzing Complex Data
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Using Domain Knowledge to Guide Lattice-based Complex Data Exploration
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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
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
Discovering common outcomes of agents' communicative actions in various domains
Knowledge-Based Systems
A possibility theory-oriented discussion of conceptual pattern structures
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Managing information fusion with formal concept analysis
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
Mining gene expression data with pattern structures in formal concept analysis
Information Sciences: an International Journal
Gene expression array exploration using K-formal concept analysis
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Biclustering numerical data in formal concept analysis
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Computing graph-based lattices from smallest projections
KONT'07/KPP'07 Proceedings of the First international conference on Knowledge processing and data analysis
What is a fuzzy concept lattice? II
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Symbolic galois lattices with pattern structures
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Some remarks on the relation between annotated ordered sets and pattern structures
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Partial orders and logical concept analysis to explore patterns extracted by data mining
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
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
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
Why and how knowledge discovery can be useful for solving problems with CBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Alpha galois lattices: an overview
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
Negation, opposition, and possibility in logical concept analysis
ICFCA'06 Proceedings of the 4th international conference on Formal Concept Analysis
Revisiting numerical pattern mining with formal concept analysis
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Practical use of formal concept analysis in service-oriented computing
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
Publication analysis of the formal concept analysis community
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
Cubes of concepts: multi-dimensional exploration of multi-valued contexts
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
Fundamenta Informaticae - Concept Lattices and Their Applications
Machine learning of syntactic parse trees for search and classification of text
Engineering Applications of Artificial Intelligence
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
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Pattern structures consist of objects with descriptions (called patterns) that allow a semilattice operation on them. Pattern structures arise naturally from ordered data, e.g., from labeled graphs ordered by graph morphisms. It is shown that pattern structures can be reduced to formal contexts, however sometimes processing the former is often more efficient and obvious than processing the latter. Concepts, implications, plausible hypotheses, and classifications are defined for data given by pattern structures. Since computation in pattern structures may be intractable, approximations of patterns by means of projections are introduced. It is shown how concepts, implications, hypotheses, and classifications in projected pattern structures are related to those in original ones.