This paper presents an algorithm, called In-Close, that uses
incremental closure and matrix searching to quickly compute all formal
concepts in a formal context. In-Close is based, conceptually, on a
well known algorithm called Close-By-One. The serial version of a
recently published algorithm (Krajca, 2008) was shown to be in the
order of 100 times faster than several well-known algorithms, and
timings of other algorithms in reviews suggest that none of them are
faster than Krajca. This paper compares In-Close to Krajca, discussing
computational methods, data requirements and memory considerations.
From experiments using several public data sets and random data, this
paper shows that In-Close is in the order of 20 times faster than
Krajca. In-Close is small, straightforward, requires no matrix pre-
processing and is simple to implement. 1
%0 Journal Article
%1 andrews2009close
%A Andrews, Simon
%D 2009
%K imported
%T In-close, a fast algorithm for computing formal concepts
%U http://shura.shu.ac.uk/38/
%X This paper presents an algorithm, called In-Close, that uses
incremental closure and matrix searching to quickly compute all formal
concepts in a formal context. In-Close is based, conceptually, on a
well known algorithm called Close-By-One. The serial version of a
recently published algorithm (Krajca, 2008) was shown to be in the
order of 100 times faster than several well-known algorithms, and
timings of other algorithms in reviews suggest that none of them are
faster than Krajca. This paper compares In-Close to Krajca, discussing
computational methods, data requirements and memory considerations.
From experiments using several public data sets and random data, this
paper shows that In-Close is in the order of 20 times faster than
Krajca. In-Close is small, straightforward, requires no matrix pre-
processing and is simple to implement. 1
@article{andrews2009close,
abstract = {This paper presents an algorithm, called In-Close, that uses
incremental closure and matrix searching to quickly compute all formal
concepts in a formal context. In-Close is based, conceptually, on a
well known algorithm called Close-By-One. The serial version of a
recently published algorithm (Krajca, 2008) was shown to be in the
order of 100 times faster than several well-known algorithms, and
timings of other algorithms in reviews suggest that none of them are
faster than Krajca. This paper compares In-Close to Krajca, discussing
computational methods, data requirements and memory considerations.
From experiments using several public data sets and random data, this
paper shows that In-Close is in the order of 20 times faster than
Krajca. In-Close is small, straightforward, requires no matrix pre-
processing and is simple to implement. 1},
added-at = {2013-08-04T16:45:40.000+0200},
author = {Andrews, Simon},
biburl = {https://www.bibsonomy.org/bibtex/2ab9785b18d5e6989ea90fec76836c052/francesco.k},
citations = {27},
citedbyid = {16357064274550665618},
file = {file://In-Close, a Fast Algorithm for Computing Formal Concepts.pdf:pdf},
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md5sum = {1a90d74444c60368502c8bcb07e15415},
pdfmeat = {timestamp: 2013-08-04 16:44:56; queries: 1; inode: 1703997},
timestamp = {2013-08-04T16:45:40.000+0200},
title = {In-close, a fast algorithm for computing formal concepts},
url = {http://shura.shu.ac.uk/38/},
year = 2009
}