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|Title: ||INTERPRETOR: a software architecture for the interpretation of large and noisy data sets|
|???metadata.dc.creator???: ||Salatian, Apkar|
|Keywords: ||Software architecture|
Arquitetura de software
|Publisher: ||Editora da UFLA|
|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|
|Appears in Collections:||Infocomp|
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