A New Storm Topology for Synopsis Management in the Processing Architecture

Autores
Diván, Martín
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream management system specialized in measurement and evaluation (M&E) projects, which incorporates predictive and detective behavior on data streams. It uses a case based organizational memory for recommending courses of action in each detected online situation and previously modeled by the project definition. In this work the storm topology associated with the online processing in PAbMM is described. Additionally, a new synopses strategy for monitoring entities under analysis is presented and a new schema for training the online classifiers is introduced. This new schema allows indicating to the classifiers the problem characterization, the proposal solution and the associated indicator value (target class). A practical case associated with the weather radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) is shown, indicating the advantages of this storm topology and the new schema oriented to training data set.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/63203
Acceder
id SEDICI_cb757ed39d2ea0bd1ca9a4a393dfe1cd
oai_identifier_str oai:sedici.unlp.edu.ar:10915/63203
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A New Storm Topology for Synopsis Management in the Processing ArchitectureDiván, MartínCiencias InformáticasEvaluaciónMeasurementsEvaluationData Stream MiningStream ManagementThe Processing Architecture based on Measurement Metadata (PAbMM) is a data stream management system specialized in measurement and evaluation (M&E) projects, which incorporates predictive and detective behavior on data streams. It uses a case based organizational memory for recommending courses of action in each detected online situation and previously modeled by the project definition. In this work the storm topology associated with the online processing in PAbMM is described. Additionally, a new synopses strategy for monitoring entities under analysis is presented and a new schema for training the online classifiers is introduced. This new schema allows indicating to the classifiers the problem characterization, the proposal solution and the associated indicator value (target class). A practical case associated with the weather radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) is shown, indicating the advantages of this storm topology and the new schema oriented to training data set.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/63203enginfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-02.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:40:52Zoai:sedici.unlp.edu.ar:10915/63203Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:40:53.175SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A New Storm Topology for Synopsis Management in the Processing Architecture
title A New Storm Topology for Synopsis Management in the Processing Architecture
spellingShingle A New Storm Topology for Synopsis Management in the Processing Architecture
Diván, Martín
Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
title_short A New Storm Topology for Synopsis Management in the Processing Architecture
title_full A New Storm Topology for Synopsis Management in the Processing Architecture
title_fullStr A New Storm Topology for Synopsis Management in the Processing Architecture
title_full_unstemmed A New Storm Topology for Synopsis Management in the Processing Architecture
title_sort A New Storm Topology for Synopsis Management in the Processing Architecture
dc.creator.none.fl_str_mv Diván, Martín
author Diván, Martín
author_facet Diván, Martín
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
topic Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
dc.description.none.fl_txt_mv The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream management system specialized in measurement and evaluation (M&E) projects, which incorporates predictive and detective behavior on data streams. It uses a case based organizational memory for recommending courses of action in each detected online situation and previously modeled by the project definition. In this work the storm topology associated with the online processing in PAbMM is described. Additionally, a new synopses strategy for monitoring entities under analysis is presented and a new schema for training the online classifiers is introduced. This new schema allows indicating to the classifiers the problem characterization, the proposal solution and the associated indicator value (target class). A practical case associated with the weather radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) is shown, indicating the advantages of this storm topology and the new schema oriented to training data set.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream management system specialized in measurement and evaluation (M&E) projects, which incorporates predictive and detective behavior on data streams. It uses a case based organizational memory for recommending courses of action in each detected online situation and previously modeled by the project definition. In this work the storm topology associated with the online processing in PAbMM is described. Additionally, a new synopses strategy for monitoring entities under analysis is presented and a new schema for training the online classifiers is introduced. This new schema allows indicating to the classifiers the problem characterization, the proposal solution and the associated indicator value (target class). A practical case associated with the weather radar of the Experimental Agricultural Station (EAS) INTA Anguil (Province of La Pampa, Argentina) is shown, indicating the advantages of this storm topology and the new schema oriented to training data set.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/63203
url http://sedici.unlp.edu.ar/handle/10915/63203
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-02.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/3.0/
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
dc.format.none.fl_str_mv application/pdf
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_ 1842260274645565440
score 13.13397

Publicaciones similares