Efficient mining of association rules using closed itemset lattices
Information Systems
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
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
A User-driven and Quality-oriented Visualization for Mining Association Rules
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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
A parameterized algorithm for exploring concept lattices
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
Spring-Based lattice drawing highlighting conceptual similarity
ICFCA'06 Proceedings of the 4th international conference on Formal Concept Analysis
Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Formal concept analysis in knowledge discovery: a survey
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
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Formal Concept Analysis has found many uses in knowledge representation and data mining, but its penetration into established data-based research disciplines has been slower. Marrying application motivations, structures, and methods from epidemiology and the mathematical formalisms of FCA, we define Generalized Contingency Structures and Tagged Contingency Structures, two new objects that generalize the contingency table, an ad hoc data summarization device in epidemiology, to a mathematical object with well-understood structure. We have extended the FCA repertoire by adding to the Formal Context an associated structure that we call a Tag Context, which formally incorporates important kinds of background knowledge. We illustrate the motivation and use of these new ideas, formats, and objects with some brief examples.