Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Latticial structures in data analysis
Theoretical Computer Science
An open graph visualization system and its applications to software engineering
Software—Practice & Experience - Special issue on discrete algorithm engineering
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
IEEE Transactions on Visualization and Computer Graphics
Future Personal Health Records as a Foundation for Computational Health
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Normalized-scale Relations and Their Concept Lattices in Relational Databases
Fundamenta Informaticae
Analysis of social communities with iceberg and stability-based concept lattices
ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis
First elements on knowledge discovery guided by domain knowledge (KDDK)
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Normalized-scale Relations and Their Concept Lattices in Relational Databases
Fundamenta Informaticae
Review: Formal Concept Analysis in knowledge processing: A survey on models and techniques
Expert Systems with Applications: An International Journal
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
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This paper presents an original experiment based on frequent itemset search and lattice based classification. This work focuses on the ability of iceberg-lattices to discover and represent flows of patient within a healthcare network. We give examples of analysis of real medical data showing how Formal Concept Analysis techniques can be helpful in the interpretation step of the knowledge discovery in databases process. This combined approach has been successfully used to assist public health managers in designing healthcare networks and planning medical resources.