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- W2006898912 abstract "The purpose of this paper is to provide a multifacetted approach to interactive analysis and modeling of time series, signals, and dynamical data sets. The models use statistical regression analysis and are built in an incremental way from a set of simple functional units. The analysis is supported by data visualization and on-line adaptive tutorials accessed on the World Wide Web. This work extends our results obtained for the Landsat-5 and Landsat-7 calibration data. The another objective is to educate the user about available mathematical models and also to allow the user to build those models interactively through applets prepared by the authors on a Web server. These models may be constructed for the user's own data set. The approach is illustrated using the calibration data sets for the Landsat sensors, we also discuss agent communication framework of regression models and calibration data. However, the same integrated approach can be used for other data domains. This type of approach is consistent with other recent activities regarding semantic web." @default.
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- W2006898912 date "2003-03-13" @default.
- W2006898912 modified "2023-10-05" @default.
- W2006898912 title "<title>Calibration, regression models and the Web</title>" @default.
- W2006898912 doi "https://doi.org/10.1117/12.463079" @default.
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