Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
Local Scaling in Conceptual Data Systems
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
Relational Scaling and Databases
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
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
IFOOD: An Intelligent Fuzzy Object-Oriented Database Architecture
IEEE Transactions on Knowledge and Data Engineering
Fundamentals of Database Systems, Fourth Edition
Fundamentals of Database Systems, Fourth Edition
Using Gaussians Functions to Determine Representative Clustering Prototypes
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Search space reduction for an efficient handling of empty answers in database flexible querying
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
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In traditional database management systems, imprecision has not been taken into account so one can say that there is some sort of lack of flexibility. The main cause is that queries retrieve only elements which precisely match to the given Boolean query. Many works were proposed in this context. The majority of these works are based on Fuzzy logic. In this paper, we discuss the flexibility in databases by referring to the Formal Concept Analysis theory. We propose an environment based on this theory which permits the flexible modelling and querying of a database with powerful retrieval capability. The architecture of this environment reuses the existing structure of a traditional database and adds new components (Metaknowledge Base, Context Base, Concept Base, etc.) while guaranteeing interoperability between them.