Titlebook: Intelligent Systems and Applications in Business and Finance; Pasi Luukka,Jan Stoklasa Book 2022 The Editor(s) (if applicable) and The Aut

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Fuzzy Similarity and Entropy (FSAE) Feature Selection Revisited by Using Intra-class Entropy and a cal uncertainty and performs at least as good and often better than the FSAE. The test set accuracies indicate and confirm the competitive results of the C-FSAE, where it led for two data sets to the highest test set accuracy overall and for more than half of the data sets provided the highest test

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A Region-Based Approach for Missing Value Imputation of Cooling Technologies for the Global Thermaltion, for 103 out of the 137 minor regions in this study, the hybrid model yields the highest test set accuracy of all approaches. It is apparent that, in terms of accuracy, the proposed hybrid model seems to outperform more general models which are based on shares or the portfolio mix in a region/c

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A Neural Network Based Multi-class Trading Strategy for the S&P 500 Index,ndicated that increasing the confidence threshold on a binary model increases the returns gained. Moreover, stricter cut-offs for the target classes tended to decrease the confidence thresholds required to obtain the best performances for the strategy.

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,Predicting Short-Term Traffic Speed and?Speed Drops in the Urban Area of a Medium-Sized European Ci predicting sudden speed drops and traffic jams in the highly regulated metropolitan area of Helsinki. Traffic and weather data are considered as inputs and traffic jams are identified from the predicted speed, i.e. using a timeseries approach, and using a classification approach. The results indica

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Hedging Effectiveness of Currency ETFs Against WTI Crude Oil Price Fluctuations,fe havens against crude oil prices as shown by significant extreme dependence parameters during bearish periods. Moreover, Invesco DB US Dollar Index Bearish Fund (UDN) is shown to be a good safe haven in the time of stress. Further, the remaining six ETFs are found to be positively linked with crud

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An Integrated Classification Rule Management System for Data Mining important issue, how to manage and apply the mined rules effectively is the same important. This paper presents a classification rule mining management system, named SM-Classifier, which integrates the functionality of generation, querying, maintenance and application of classification rules. The a