Process View for a Data Stream Processing Strategy based on Measurement Metadata

Autores
Diván, Mario José; Olsina, Luis
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The data stream processing strategy based on measurement metadata, is an enhanced approach that relies on a measurement and evaluation conceptual framework. The strategy uses measures (data sets) and their linked metadata to incorporate detective and predictive behavior as well as to trigger alarms in a proactive way. This work discusses the process formalization for its data stream processing components, and their interactions. The process specification is based on the SPEM language, and the main specified activities ranges from data source configuration of heterogeneous data sources, to statistical analysis and classifiers for decision making. As result, the proposed strategy becomes more consistent, repeatable and communicable from the process modeling viewpoint. Also, to illustrate the approach, excerpts of a developed outpatient monitoring system are used.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Data streams
Process
Measure
Metadata
C-INCAMI
SPEM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135219
Acceder
id SEDICI_21de5eda70c48524fbbd781c1e92be3c
oai_identifier_str oai:sedici.unlp.edu.ar:10915/135219
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Process View for a Data Stream Processing Strategy based on Measurement MetadataDiván, Mario JoséOlsina, LuisCiencias InformáticasData streamsProcessMeasureMetadataC-INCAMISPEMThe data stream processing strategy based on measurement metadata, is an enhanced approach that relies on a measurement and evaluation conceptual framework. The strategy uses measures (data sets) and their linked metadata to incorporate detective and predictive behavior as well as to trigger alarms in a proactive way. This work discusses the process formalization for its data stream processing components, and their interactions. The process specification is based on the SPEM language, and the main specified activities ranges from data source configuration of heterogeneous data sources, to statistical analysis and classifiers for decision making. As result, the proposed strategy becomes more consistent, repeatable and communicable from the process modeling viewpoint. Also, to illustrate the approach, excerpts of a developed outpatient monitoring system are used.Sociedad Argentina de Informática e Investigación Operativa2014-06-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf16-34http://sedici.unlp.edu.ar/handle/10915/135219enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/39info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:34:01Zoai:sedici.unlp.edu.ar:10915/135219Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:34:01.607SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Process View for a Data Stream Processing Strategy based on Measurement Metadata
title Process View for a Data Stream Processing Strategy based on Measurement Metadata
spellingShingle Process View for a Data Stream Processing Strategy based on Measurement Metadata
Diván, Mario José
Ciencias Informáticas
Data streams
Process
Measure
Metadata
C-INCAMI
SPEM
title_short Process View for a Data Stream Processing Strategy based on Measurement Metadata
title_full Process View for a Data Stream Processing Strategy based on Measurement Metadata
title_fullStr Process View for a Data Stream Processing Strategy based on Measurement Metadata
title_full_unstemmed Process View for a Data Stream Processing Strategy based on Measurement Metadata
title_sort Process View for a Data Stream Processing Strategy based on Measurement Metadata
dc.creator.none.fl_str_mv Diván, Mario José
Olsina, Luis
author Diván, Mario José
author_facet Diván, Mario José
Olsina, Luis
author_role author
author2 Olsina, Luis
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Data streams
Process
Measure
Metadata
C-INCAMI
SPEM
topic Ciencias Informáticas
Data streams
Process
Measure
Metadata
C-INCAMI
SPEM
dc.description.none.fl_txt_mv The data stream processing strategy based on measurement metadata, is an enhanced approach that relies on a measurement and evaluation conceptual framework. The strategy uses measures (data sets) and their linked metadata to incorporate detective and predictive behavior as well as to trigger alarms in a proactive way. This work discusses the process formalization for its data stream processing components, and their interactions. The process specification is based on the SPEM language, and the main specified activities ranges from data source configuration of heterogeneous data sources, to statistical analysis and classifiers for decision making. As result, the proposed strategy becomes more consistent, repeatable and communicable from the process modeling viewpoint. Also, to illustrate the approach, excerpts of a developed outpatient monitoring system are used.
Sociedad Argentina de Informática e Investigación Operativa
description The data stream processing strategy based on measurement metadata, is an enhanced approach that relies on a measurement and evaluation conceptual framework. The strategy uses measures (data sets) and their linked metadata to incorporate detective and predictive behavior as well as to trigger alarms in a proactive way. This work discusses the process formalization for its data stream processing components, and their interactions. The process specification is based on the SPEM language, and the main specified activities ranges from data source configuration of heterogeneous data sources, to statistical analysis and classifiers for decision making. As result, the proposed strategy becomes more consistent, repeatable and communicable from the process modeling viewpoint. Also, to illustrate the approach, excerpts of a developed outpatient monitoring system are used.
publishDate 2014
dc.date.none.fl_str_mv 2014-06-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/135219
url http://sedici.unlp.edu.ar/handle/10915/135219
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/39
info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
16-34
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616220120186880
score 13.070432

Publicaciones similares