Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Machine Learning - Special issue on multistrategy learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Creating a web analysis and visualization environment
Computer Networks and ISDN Systems
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Reengineering of configurations based on mathematical concept analysis
ACM Transactions on Software Engineering and Methodology (TOSEM)
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Designing Templates for Mining Association Rules
Journal of Intelligent Information Systems
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficient mining of association rules using closed itemset lattices
Information Systems
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Semantic community Web portals
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Generating non-redundant association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Conceptual on-line analytical processing
Information organization and databases
Mining frequent patterns with counting inference
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
CREAM: creating relational metadata with a component-based, ontology-driven annotation framework
Proceedings of the 1st international conference on Knowledge capture
SEAL: a framework for developing SEmantic PortALs
Proceedings of the 1st international conference on Knowledge capture
Authoring and annotation of web pages in CREAM
Proceedings of the 11th international conference on World Wide Web
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Data Mining and Knowledge Discovery
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
Automatic Structuring of Knowledge Bases by Conceptual Clustering
IEEE Transactions on Knowledge and Data Engineering
Toward a Technology for Organizational Memories
IEEE Intelligent Systems
Knowledge Processes and Ontologies
IEEE Intelligent Systems
IEEE Intelligent Systems
Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Methods and Problems in Data Mining
ICDT '97 Proceedings of the 6th International Conference on Database Theory
A Triadic Approach to Formal Concept Analysis
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
Local Scaling in Conceptual Data Systems
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
Conceptual Graphs and Formal Concept Analysis
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Logical Scaling in Formal Concept Analysis
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
TOSCANA-Systems Based on Thesauri
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
CEM - A Conceptual Email Manager
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Conceptual Knowledge Discovery and Data 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
Formal Concept Analysis on Its Way from Mathematics to Computer Science
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
A New Algorithm for Faster Mining of Generalized Association Rules
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Conceptual Knowledge Discovery in Databases Using Formal Concept Analysis Methods
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A New SQL-like Operator for Mining Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Merging Inheritance Hierarchies for Database Integration
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Computations with Finite Closure Systems and Implications
COCOON '95 Proceedings of the First Annual International Conference on Computing and Combinatorics
The Concept Classification of a Terminology Extended by Conjunction and Disjunction
PRICAI '96 Proceedings of the 4th Pacific Rim International Conference on Artificial Intelligence: Topics in Artificial Intelligence
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Numerical Aspects in the Data Model of Conceptual Information Systems
ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
TOSCANA - a Graphical Tool for Analyzing and Exploring Data
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
A Contextual-Logic Extension of TOSCANA
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Broker's Lounge - An Environment for Multi-Dimensional User-Adaptive Knowledge Management
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Discovering shared conceptualizations in folksonomies
Web Semantics: Science, Services and Agents on the World Wide Web
Heuristic-Based Approach for Constructing Hierarchical Knowledge Structures
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Topological space for attributes set of a formal context
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Constructing tree-based knowledge structures from text corpus
Applied Intelligence
Formal concept analysis based on the topology for attributes of a formal context
Information Sciences: an International Journal
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
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In the last years, the main orientation of formal concept analysis (FCA) has turned from mathematics towards computer science. This article provides a review of this new orientation and analyses why and how FCA and computer science attracted each other. It discusses FCA as a knowledge representation formalism using five knowledge representation principles provided by Davis et al. (1993). It then studies how and why mathematics-based researchers got attracted by computer science. We will argue for continuing this trend by integrating the two research areas FCA and ontology engineering.The second part of the article discusses three lines of research which witness the new orientation of FCA: FCA as a conceptual clustering technique and its application for supporting the merging of ontologies; the efficient computation of association rules and the structuring of the results; and the visualization and management of conceptual hierarchies and ontologies including its application in an email management system.