%0 Journal Article
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%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%@archivingpolicy denypublisher denyfinaldraft
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JJ5D
%X Analysis of information from multiple data sources obtained through high resolution instrumental measurements has become a fundamental task in all scientific areas. The development of expert methods able to treat such multi-source data systems, with both large variability and measurement extension, is a key for studying complex scientific phenomena, especially those related to systemic analysis in space and environmental sciences. In this paper, we propose a time series generalization introducing the concept of generalized numerical lattice, which represents a discrete sequence of temporal measures for a given variable. In this novel representation approach each generalized numerical lattice brings post-analytical data information. We define a generalized numerical lattice  as a set of three coefficients, representing the following data properties: dimensionality, size and post-analytical parameters, respectively. From this generalization, any multi-source database can be reduced to a closed set a classified time series in spatio-temporal generalized dimensions. As a case study, we show a preliminary application in space science data, highlighting the possibility of a real time analysis expert system to be developed in a future work.
%@mirrorrepository sid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
%8 June
%N 2
%T Generalized numerical lattices for time series representation in complex data systems
%@secondarytype PRE PI
%K multivariate time series, complex data systems, data representation, data integration, data modeling, data mining, systemic analysis.
%@usergroup administrator
%@usergroup simone
%@group LAC-CTE-INPE-MCT-BR
%@group LAC-CTE-INPE-MCT-BR
%@group LAC-CTE-INPE-MCT-BR
%3 generalized numerical lattices.pdf
%@secondarykey INPE--PRE/
%@issn 1983-8409
%@issn 2177-8833
%2 sid.inpe.br/mtc-m18@80/2009/08.13.15.27.09
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidade do Vale do Paraíba
%B Journal of Computational Interdisciplinary Sciences
%@versiontype publisher
%P 175-184
%4 sid.inpe.br/mtc-m18@80/2009/08.13.15.27
%@documentstage not transferred
%D 2009
%V 1
%A Veronese, Thalita B.,
%A Rosa, Reinaldo Roberto,
%A Vijaykumar, Nandamudi Lankalapali,
%A Bolzan, Maurício J. A.,
%@area COMP