Custom asymmetric page split generalized index search trees and formal concept analysis

  • Authors:
  • Ben Martin;Peter Eklund

  • Affiliations:
  • School of Computer Science and Software Engineering, The University of Wollongong, Wollongong, NSW, Australia;School of Computer Science and Software Engineering, The University of Wollongong, Wollongong, NSW, Australia

  • Venue:
  • ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper investigates the scalability of applying Formal Concept Analysis to large data sets. In particular we present enhancements based on an existing spatial data structure, the RD-Tree, to better support both specific use with Formal Concept Analysis as well as generic multidimensional applications. Our experiments are motivated by the application of Formal Concept Analysis to a virtual filesystem [11,20,16]. In particular the libferris [1] Semantic File System.