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Scalable performance of FCbO update algorithm on museum data

conference contribution
posted on 2016-01-01, 00:00 authored by T Wray, J Outrata, Peter EklundPeter Eklund
Formal Concept Analysis – known as a technique for data analysis and visualisation – can also be applied as a means of creating interaction approaches that allow for knowledge discovery within collections of content. These interaction approaches rely on performant algorithms that can generate conceptual neighbourhoods based on a single formal concept, or incrementally compute and update a set of formal concepts given changes to a formal context. Using case studies based on content from museum collections, this paper describes the scalability limitations of existing interaction approaches and presents an implementation and evaluation of the FCbO update algorithm as a means of updating formal concepts from large and dynamically changing museum datasets.

History

Volume

1624

Pagination

363-374

Location

Moscow, Russia

Start date

2016-07-18

End date

2016-07-22

ISSN

2311-701X

eISSN

1613-0073

Language

eng

Notes

CEUR Workshop Proceedings

Publication classification

E Conference publication, E1.1 Full written paper - refereed, X Not reportable

Copyright notice

2017, Marianne Huchard, Sergei O. Kuznetsov (Eds.).

Editor/Contributor(s)

Huchard M, Kuznetsov S

Title of proceedings

CLA 2016 : Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications

Event

Concept lattices and their applications. International Conference (13th : 2016 : Moscow, Russia)

Publisher

M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen

Place of publication

Aachen, Germany

Series

CEUR-WS.org

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