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Is the Distribution of Foreign Aid MDG-sensitive?
Hailu, Degol - Department of Economic and Social Affairs, United Nations - 2012
apply the MDG-sensitivity criteria for aid allocation, the results indicate that ODA allocation since the Millennium … Declaration has become more MDG-sensitive – ODA is given to countries that need it most. While such trends in aid disbursements …This paper examines whether Official Development Assistance (ODA) is disproportionately allocated to countries that …
Persistent link: https://www.econbiz.de/10010547995
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Data Mining on Romanian Stock Market Using Neural Networks for Price Prediction
NEMES, Magdalena Daniela; BUTOI, Alexandru - In: Informatica Economica 17 (2013) 3, pp. 125-136
Predicting future prices by using time series forecasting models has become a relevant trading strategy for most stock market players. Intuition and speculation are no longer reliable as many new trading strategies based on artificial intelligence emerge. Data mining represents a good source of...
Persistent link: https://www.econbiz.de/10011145572
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FUZZY, DISTRIBUTED, INSTANCE COUNTING, AND DEFAULT ARTMAP NEURAL NETWORKS FOR FINANCIAL DIAGNOSIS
NACHEV, ANATOLI; HILL, SEAMUS; BARRY, CHRIS; STOYANOV, … - In: International Journal of Information Technology & … 09 (2010) 06, pp. 959-978
This paper shows the potential of neural networks based on the Adaptive Resonance Theory as tools that generate warning signals when bankruptcy of a company is expected (bankruptcy prediction problem). Using that class of neural networks is still unexplored to date. We examined four of the most...
Persistent link: https://www.econbiz.de/10008690096
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Neural Networks for Target Selection in Direct Marketing
Kaymak, Uzay; Potharst, Potharst, R.; Pijls, Pijls, W.H.L.M. - Erasmus Research Institute of Management (ERIM), … - 2001
Partly due to a growing interest in direct marketing, it has become an important application field for data mining. Many techniques have been applied to select the targets in commercial applications, such as statistical regression, regression trees, neural computing, fuzzy clustering and...
Persistent link: https://www.econbiz.de/10010731403
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Power optimization of wind turbines with data mining and evolutionary computation
Kusiak, Andrew; Zheng, Haiyang; Song, Zhe - In: Renewable Energy 35 (2010) 3, pp. 695-702
A data-driven approach for maximization of the power produced by wind turbines is presented. The power optimization objective is accomplished by computing optimal control settings of wind turbines using data mining and evolutionary strategy algorithms. Data mining algorithms identify a...
Persistent link: https://www.econbiz.de/10010807120
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Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks
Tso, Geoffrey K.F.; Yau, Kelvin K.W. - In: Energy 32 (2007) 9, pp. 1761-1768
This study presents three modeling techniques for the prediction of electricity energy consumption. In addition to the traditional regression analysis, decision tree and neural networks are considered. Model selection is based on the square root of average squared error. In an empirical...
Persistent link: https://www.econbiz.de/10010807471
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Minimizing pump energy in a wastewater processing plant
Zhang, Zijun; Zeng, Yaohui; Kusiak, Andrew - In: Energy 47 (2012) 1, pp. 505-514
This paper discusses energy savings in wastewater processing plant pump operations and proposes a pump system scheduling model to generate operational schedules to reduce energy consumption. A neural network algorithm is utilized to model pump energy consumption and fluid flow rate after...
Persistent link: https://www.econbiz.de/10010809907
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Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation
Jamain, Adrien; Hand, David - In: Journal of Classification 25 (2008) 1, pp. 87-112
Persistent link: https://www.econbiz.de/10005757507
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Minería de datos y lógica difusa.Una aplicación al estudio de la rentabilidad económica de las empresas agroalimentarias en Andalucía
Díaz, Bárbara; Morillas, Antonio - EconWPA - 2005
En este trabajo se estudia la rentabilidad de la empresa agroalimentaria en Andalucía (España)mediante un conjunto de ratios, elaborados por el Instituto de Estadística de Andalucía a partir de la Central de Balances de Actividades Empresariales de Andalucía. El objeto es encontrar las...
Persistent link: https://www.econbiz.de/10005125615
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Neural Networks for Target Selection in Direct Marketing
Kaymak, Uzay; Potharst, R.; Pijls, W.H.L.M. - Erasmus Research Institute of Management (ERIM), ERIM … - 2001
Partly due to a growing interest in direct marketing, it has become an important application field for data mining. Many techniques have been applied to select the targets in commercial applications, such as statistical regression, regression trees, neural computing, fuzzy clustering and...
Persistent link: https://www.econbiz.de/10005288494