Strategy for Data Stream Processing Based on Measurement Metadata: An Outpatient Monitoring Scenario

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"Strategy for Data Stream Processing Based on Measurement Metadata: An Outpatient Monitoring Scenario"
written by Mario Diván, Luis Olsina, Silvia Gordillo,
published by Journal of Software Engineering and Applications, Vol.4 No.12, 2011

has been cited by the following article(s):

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[5]	Arquitectura de Procesamiento centrada en Metadatos de Mediciones
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[6]	Processing architecture based on measurement metadata
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[7]	Síntesis de una Arquitectura de Procesamiento de Datos del RADAR Meteorológico de INTA Anguil
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[8]	Estrategia de Procesamiento de Flujos de Datos Sustentada en Big Data y Memoria Organizacional
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[9]	Hacia una Arquitectura de Procesamiento de Datos del RADAR Meteorológico de INTA Anguil
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[10]	Towards a Data Processing Architecture for the Weather Radar of the INTA Anguil
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[11]	Hacia la Monitorización de los Procesos Previsionales en el Instituto de Seguridad Social de La Pampa
	MLS Reynoso, M Diván - 41jaiio.org.ar, 2014

[12]	Hacia la Retroalimentación del Procesamiento de Flujos de Datos Sustentado en Memoria Organizacional
	MJ Diván, Má Martín, L Olsina - conaiisi.unsl.edu.ar, 2014

[13]	Process View for a Data Stream Processing Strategy based on Measurement Metadata
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[14]	Vista de Proceso del Enfoque Integrado de Procesamiento de Flujos de Datos centrado en Metadatos de Mediciones
	Argentine Symposium on Software Engineering, 2013

[15]	基于共享缓冲区的数据流处理框架设计与实现
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[2]	Applications of Case Based Organizational Memory Supported by the PAbMM Architecture Advances in Science, Technology and Engineering Systems Journal, 2017 DOI:10.25046/aj020303

[3]	Processing architecture based on measurement metadata 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2016 DOI:10.1109/ICRITO.2016.7784912

[4]	Towards a Data Processing Architecture for the Weather Radar of the INTA Anguil 2015 International Workshop on Data Mining with Industrial Applications (DMIA), 2015 DOI:10.1109/DMIA.2015.12