The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Efficient mining of association rules using closed itemset lattices
Information Systems
Mining frequent patterns with counting inference
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Relational Data Mining
Discovering Frequent Closed Itemsets for Association Rules
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Classification Based Retrieval Using Formal Concept Analysis
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Pattern Structures and Their Projections
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure
IEEE Transactions on Knowledge and Data Engineering
Model-Driven Software Development: Technology, Engineering, Management
Model-Driven Software Development: Technology, Engineering, Management
The Description Logic Handbook
The Description Logic Handbook
Ontology Learning from Text Using Relational Concept Analysis
MCETECH '08 Proceedings of the 2008 International MCETECH Conference on e-Technologies
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
Formal Concept Analysis: A Unified Framework for Building and Refining Ontologies
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Constructing Iceberg Lattices from Frequent Closures Using Generators
DS '08 Proceedings of the 11th International Conference on Discovery Science
Two FCA-Based Methods for Mining Gene Expression Data
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Efficient Vertical Mining of Frequent Closures and Generators
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Case base mining for adaptation knowledge acquisition
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Handbook on Ontologies
Pattern Structures for Analyzing Complex Data
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A proposal for combining formal concept analysis and description logics for mining relational data
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
First elements on knowledge discovery guided by domain knowledge (KDDK)
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Using Domain Knowledge to Guide Lattice-based Complex Data Exploration
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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
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In this talk, we discuss and illustrate links existing between knowledge discovery in databases (KDD), knowledge representation and reasoning (KRR), and case-based reasoning (CBR). KDD techniques especially based on Formal Concept Analysis (FCA) are well formalized and allow the design of concept lattices from binary and complex data. These concept lattices provide a realistic basis for knowledge base organization and ontology engineering. More generally, they can be used for representing knowledge and reasoning in knowledge systems and CBR systems as well.