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

dc.creatorDiván, Mario José
dc.creatorOlsina, Luis
dc.date2014-06-04
dc.date2022-04-28T13:44:32Z
dc.date.accessioned2023-07-15T06:24:56Z
dc.date.available2023-07-15T06:24:56Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/135219
dc.identifierhttps://publicaciones.sadio.org.ar/index.php/EJS/article/view/39
dc.identifierissn:1514-6774
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7476580
dc.descriptionThe 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.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format16-34
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectCiencias Informáticas
dc.subjectData streams
dc.subjectProcess
dc.subjectMeasure
dc.subjectMetadata
dc.subjectC-INCAMI
dc.subjectSPEM
dc.titleProcess View for a Data Stream Processing Strategy based on Measurement Metadata
dc.typeArticulo
dc.typeArticulo


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