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Total productive value of Real estate is a crucial part of the Service Industry, which directly affects the value of GDP. It is significant to predict the added value of the total productive value of Real estate, by historical observed data and dynamic regression equations. Compare dynamic regression equations with genetic algorithm to regression equation from exponential regression and linear regression...
Carpet customers want a product of which the appearance lasts for years. Therefore, carpet manufacturers certify their products with labels that represent the expected change in appearance after the first year of installation. No automated system exists yet for objectively assigning these ranks. In this approach, we present an automated method for assessing carpet wear based on image analysis. For...
Trust is very important to semantic Web. We propose a trust model of semantic Web by using classic linear regression models, time series models and vector auto regression generalized autoregressive conditional heteroskedasticity models. First, we discuss the background and related work about trust in semantic Web. Then the management of uncertainty is analyzed. At last, we give the prediction algorithm...
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