A parallel algorithm to generate formal concepts for large data

Huaiguo Fu, Engelbert Mephu Nguifo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

34 Citations (Scopus)

Abstract

One of the most effective methods to deal with large data for data analysis and data mining is to develop parallel algorithm. Although Formal concept analysis is an effective tool for data analysis and knowledge discovery, it's very hard for concept lattice structures to face the complexity of very large data. So we propose a new parallel algorithm based on the NextClosure algorithm to generate formal concepts for large data.

Original languageEnglish
Title of host publicationConcept Lattices
EditorsPeter Eklund
PublisherSpringer
Pages394-401
Number of pages8
ISBN (Print)3540210431, 9783540210436
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event2nd International Conference on Formal Concept Analysis, ICFCA 2004 - Sydney, Australia
Duration: 23 Feb 200426 Feb 2004

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume2961
ISSN (Print)0302-9743

Conference

Conference2nd International Conference on Formal Concept Analysis, ICFCA 2004
Country/TerritoryAustralia
CitySydney
Period23/02/200426/02/2004

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