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• W2183610858 abstract "The paper discusses the relationship between honour, faith and happiness, both in a diachronic perspective, taking into account its dependency on national cultures and on the communication between them, and in a contemporary perspective, using survey data from the ESS, round 3, second wave, 2006/ 2007. The answers to the survey are statistically processed, in an attempt to objectify concepts which belong to the fuzzy realm of the spirit, and to draw conclusions regarding the evolution of the European culture, on these coordinates. While happiness is more often discussed, in relation to consumerism and to wealth, which led to the emergence of a recent trend trying to recover its immaterial nature, the relationship between happiness, religiosity and honour is seldom examined. This may serve as a motivation for the present study, whose conclusions show that apparently secular concepts, as honour and happiness, are instilled with a religious understanding of the world, which needs, after millennia of faith and deceit, to be redefined and explained. Abstract. In this paper two computational intelligence approaches are contrasted: the common approach, based on one-value-ahead neural network forecasting methods, and a novel approach, based on a mix of computational intelligence techniques (noise filtering with wavelets, fuzzy clustering, neural mapping of fuzzy transitions between cluster prototypes and robust prediction) for one-subsequence-ahead forecasting of stock market indices. The first approach serves to demonstrate that emerging markets are deeply affected from global influences such as external shocks or signals and at least with neural network models the inclusion of exogenous variables from well established global markets significantly improves the forecasting performance of the emerging market model. However, one-value-ahead forecasting of price levels is not as useful as the shape of middle-term up and down movements, due to their inherent short-term randomness. The second approach proposes a novel one-subsequence-ahead forecasting framework that allows the prediction of stock index movements in a more robust way, focusing on predicting one price subsequence rather than one price level at a time." @default.
• W2183610858 created "2016-06-24" @default.
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• W2183610858 date "2010-01-01" @default.
• W2183610858 modified "2023-09-26" @default.
• W2183610858 title "STATISTICAL ANALYSIS OF THE EVOLUTION OF VALUES IN HUMAN RESOURCE PERSPECTIVES" @default.
• W2183610858 hasPublicationYear "2010" @default.
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