INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets

Detalhes bibliográficos
Autor(a) principal: Salatian, Apkar
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/333
Resumo: In many domains there is a need to interpret the high volumes of noisy data. In this paper we propose and describe a new software architecture called INTERPRETOR for summarising and interpreting voluminous high frequency noisy data. INTERPRETOR consists of 3 modules: Filter which processes noise; Abstraction which abstracts features from the filtered data; and Interpretation which takes the abstractions and provides an interpretation of the data. In this seminal article we also show how INTERPRETOR has successfully been applied to 2 case studies.
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spelling INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Setssoftware architecturefilteringabstractioninterpretationIn many domains there is a need to interpret the high volumes of noisy data. In this paper we propose and describe a new software architecture called INTERPRETOR for summarising and interpreting voluminous high frequency noisy data. INTERPRETOR consists of 3 modules: Filter which processes noise; Abstraction which abstracts features from the filtered data; and Interpretation which takes the abstractions and provides an interpretation of the data. In this seminal article we also show how INTERPRETOR has successfully been applied to 2 case studies.Editora da UFLA2011-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/333INFOCOMP Journal of Computer Science; Vol. 10 No. 2 (2011): June, 2011; 44-521982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/333/317Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessSalatian, Apkar2015-07-29T11:56:49Zoai:infocomp.dcc.ufla.br:article/333Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:32.498266INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
title INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
spellingShingle INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
Salatian, Apkar
software architecture
filtering
abstraction
interpretation
title_short INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
title_full INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
title_fullStr INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
title_full_unstemmed INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
title_sort INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets
author Salatian, Apkar
author_facet Salatian, Apkar
author_role author
dc.contributor.author.fl_str_mv Salatian, Apkar
dc.subject.por.fl_str_mv software architecture
filtering
abstraction
interpretation
topic software architecture
filtering
abstraction
interpretation
description In many domains there is a need to interpret the high volumes of noisy data. In this paper we propose and describe a new software architecture called INTERPRETOR for summarising and interpreting voluminous high frequency noisy data. INTERPRETOR consists of 3 modules: Filter which processes noise; Abstraction which abstracts features from the filtered data; and Interpretation which takes the abstractions and provides an interpretation of the data. In this seminal article we also show how INTERPRETOR has successfully been applied to 2 case studies.
publishDate 2011
dc.date.none.fl_str_mv 2011-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/333
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/333
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/333/317
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 10 No. 2 (2011): June, 2011; 44-52
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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