A partition-based approach towards constructing Galois (concept) lattices
Discrete Mathematics
Building Concept (Galois) Lattices from Parts: Generalizing the Incremental Methods
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Expressive power of an algebra for data mining
ACM Transactions on Database Systems (TODS)
Modeling and language support for the management of pattern-bases
Data & Knowledge Engineering
On stability of a formal concept
Annals of Mathematics and Artificial Intelligence
Reducing the Representation Complexity of Lattice-Based Taxonomies
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
Using formal concept analysis to leverage ontology-based Acu-point knowledge system
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Hi-index | 0.00 |
This work is aimed at finding interesting patterns in knowledge discovery applications. We first apply formal concept analysis methods for deriving concepts from particular data sets. We also investigate concepts stabilities by removing attributes from the same data set. Another way to search for interesting patterns is to build nested lattices and compare the obtained concepts with the ones resulting from applying the first two approaches.