A New Storm Topology for Synopsis Management in the Processing Architecture

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...

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Detalles Bibliográficos
Autor principal: Diván, Martín
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/63203
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-02.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-63203
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
spellingShingle Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
Diván, Martín
A New Storm Topology for Synopsis Management in the Processing Architecture
topic_facet Ciencias Informáticas
Evaluación
Measurements
Evaluation
Data Stream Mining
Stream Management
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.
format Objeto de conferencia
Objeto de conferencia
author Diván, Martín
author_facet Diván, Martín
author_sort Diván, Martín
title A New Storm Topology for Synopsis Management in the Processing Architecture
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 new storm topology for synopsis management in the processing architecture
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/63203
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-02.pdf
work_keys_str_mv AT divanmartin anewstormtopologyforsynopsismanagementintheprocessingarchitecture
AT divanmartin newstormtopologyforsynopsismanagementintheprocessingarchitecture
bdutipo_str Repositorios
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