Partition semantics for relations
Journal of Computer and System Sciences
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Machine Learning on the Basis of Formal Concept Analysis
Automation and Remote Control
Objective-Oriented Utility-Based Association Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Theory of Relational Databases
Theory of Relational Databases
The Journal of Machine Learning Research
Ontology-driven Rule Generalization and Categorization for Market Data
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Knowledge-Based Interactive Postmining of Association Rules Using Ontologies
IEEE Transactions on Knowledge and Data Engineering
Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models
Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models
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The interconnection between the Diagnostic (Classification) Test Approach to Data Analysis and the Formal Concept Analysis (FCA) is considered. The definition of a good classification test is given via Galois's correspondences. Next we discuss the relations between good tests and formal concepts. A good classification test is understood as a good approximation of a given classification on a given set of examples. Classification tests serve as a basis for inferring implicative, functional dependencies and association rules from datasets. This approach gives the possibility to directly control the data analysis process by giving object classifications.