SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
Implementation of extended indexes in POSTGRES
ACM SIGIR Forum
Fast discovery of association rules
Advances in knowledge discovery and data mining
File Structures
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Logical Scaling in Formal Concept Analysis
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
CEM - A Conceptual Email Manager
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
A Logical Generalization of Formal Concept Analysis
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Browsing Semi-structured Web Texts Using Formal Concept Analysis
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Generalized Search Trees for Database Systems
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A File System Based on Concept Analysis
CL '00 Proceedings of the First International Conference on Computational Logic
Custom asymmetric page split generalized index search trees and formal concept analysis
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
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Formal Concept Analysis is an unsupervised machine learning technique that has successfully been applied to document organisation by considering documents as objects and keywords as attributes. The basic algorithms of Formal Concept Analysis then allow an intelligent information retrieval system to cluster documents according to keyword views. This paper investigates the scalability of this idea. In particular we present the results of applying spatial data structures to large datasets in formal concept analysis. Our experiments are motivated by the application of the Formal Concept Analysis idea of a virtual filesystem [11,17,15]. In particular the libferris [1] Semantic File System. This paper presents customizations to an RD-Tree Generalized Index Search Tree based index structure to better support the application of Formal Concept Analysis to large data sources.