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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/10100

Title: INTERPRETOR: a software architecture for the interpretation of large and noisy data sets
???metadata.dc.creator???: Salatian, Apkar
Keywords: Software architecture
Filtering
Abstraction
Interpretation
Arquitetura de software
Filtragem
Abstração
Interpretação
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Jun-2011
Citation: SALATIAN, A. INTERPRETOR: a software architecture for the interpretation of large and noisy data sets. INFOCOMP: Journal of Computer Science, Lavras, v. 10, n. 2, p. 44-52, June 2011.
Abstract: In many domains there is a need to interpret the high volumes of noisy data. In this paper we propose and describe a new software architecture called INTERPRETOR for summarising and interpreting voluminous high frequency noisy data. INTERPRETOR consists of 3 modules: Filter which processes noise; Abstraction which abstracts features from the filtered data; and Interpretation which takes the abstractions and provides an interpretation of the data. In this seminal article we also show how INTERPRETOR has successfully been applied to 2 case studies.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/333
???metadata.dc.language???: eng
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