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Application of integrated data mining techniques in stock market forecasting

Huang, Chin-yin; Lin, Philip K. P. - In: Cogent economics & finance 2 (2014) 1, pp. 2-17

market. Therefore, the current research focuses in the stock forecasting area is to improve the accuracy of stock trading … stock market forecasting. …

Persistent link: https://www.econbiz.de/10010482340

Efficacy of Artificial Neural Networks (ANN) as a tool for predictive analytics

Sinha, Deepti; Sarangi, Pradeepta Kumar; Sinha, Sachin - In: Analytics Enabled Decision Making, (pp. 123-138). 2023

Persistent link: https://www.econbiz.de/10014302861

Alternative Methods of Estimating Potential Output and the Output Gap; An Application to Sweden

Saxena, Sweta Chaman; Cerra, Valerie - International Monetary Fund (IMF) - 2000

This paper reviews a number of different methods that can be used to estimate potential output and the output gap. Measures of potential output and the output gap are useful to help identify the scope for sustainable noninflationary growth and to allow an assessment of the stance of...

Persistent link: https://www.econbiz.de/10005605416

Adaptive neuro-fuzzy inference system approach for urban sustainability assessment : a China case study

Tan, Yongtao; Shuai, Chenyang; Jiao, Liudan; Shen, Liyin - In: Sustainable development 26 (2018) 6, pp. 749-764

Persistent link: https://www.econbiz.de/10011973658

MOONA software for survey classification and evaluation of criteria to support decision-making for properties portfolio

Baierle, Ismael Cristofer; Schaefer, Jones Luis; … - In: International journal of strategic property management 24 (2020) 4, pp. 226-236

Persistent link: https://www.econbiz.de/10013414888

An intelligent algorithm for optimum forecasting of manufacturing lead times in fuzzy and crisp environments

Azadeh, Mohammad Ali; Ziaeifar, Amin; Pichka, Khosro; … - In: International journal of logistics systems and management 16 (2013) 2, pp. 186-210

Persistent link: https://www.econbiz.de/10010222775

Optimum prediction and forecasting of wheat demand in Iran

Babazadeh, Reza; Shamsi, Meisam; Shafipour, Fatemeh - In: International journal of applied management science : IJAMS 13 (2021) 2, pp. 141-151

Persistent link: https://www.econbiz.de/10012594613

Artificial Neural Network model for hourly peak load forecast

Kumar, V. Ramesh; Dixit, Pradipkumar - In: International Journal of Energy Economics and Policy : IJEEP 8 (2018) 5, pp. 155-160

Persistent link: https://www.econbiz.de/10011951805

Machine learning in energy economics and finance: a review

Ghoddusi, Hamed; Creamer Guillén, Germán; Rafizadeh, Nima - In: Energy economics 81 (2019), pp. 709-727

Persistent link: https://www.econbiz.de/10012172954

A unique support vector regression for improved modelling and forecasting of short-term gasoline consumption in railway systems

Azadeh, Mohammad Ali; Boskabadi, Azam; Pashapour, Shima - In: International journal of services and operations management 21 (2015) 2, pp. 217-237

Persistent link: https://www.econbiz.de/10011380081

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