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Scalable performance of FCbO update algorithm on museum data
conference contributionposted 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.
EventConcept lattices and their applications. International Conference (13th : 2016 : Moscow, Russia)
Pagination363 - 374
PublisherM. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen
Place of publicationAachen, Germany
NotesCEUR Workshop Proceedings
Publication classificationE Conference publication; E1.1 Full written paper - refereed; X Not reportable
Copyright notice2017, Marianne Huchard, Sergei O. Kuznetsov (Eds.).
Editor/Contributor(s)Marianne Huchard, Sergei Kuznetsov
Title of proceedingsCLA 2016 : Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications