Search Results - subject:"Support vector machines"

Forecasting price spikes in electricity markets

Stathakis, Efthymios; Papadimitriou, Theophilos; … - In: Review of Economic Analysis : REA 13 (2021) 1, pp. 65-87

Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and the need for instantaneous balancing of demand and supply can often cause extreme short-lived fluctuations in electricity prices. These fluctuations are termed price...

Persistent link: https://www.econbiz.de/10012599500

Data mining–based stock price prediction using hybridization of technical and fundamental analysis

Kaur, Jasleen; Dharni, Khushdeep - In: Data Technologies and Applications 57 (2023) 5, pp. 780-800

portfolio based on that study. Artificial neural network (ANN), support vector machines (SVM) and decision tree J48 were used to …

Persistent link: https://www.econbiz.de/10014712665

The impact of COVID-19 on unemployment rate : an intelligent based unemployment rate prediction in selected countries of Europe

Ahmad, Muneeb; Khan, Yousaf Ali; Jiang, Chonghui; … - In: International journal of finance & economics : IJFE 28 (2023) 1, pp. 528-543

Persistent link: https://www.econbiz.de/10014253227

Using supervised machine learning methods for RFM segmentatio : a casino direct marketing communication case

Bratina, Danijel; Faganel, Armand - In: Market : review for marketing theory and practice 35 (2023) 1, pp. 7-22

Persistent link: https://www.econbiz.de/10014315007

Forecasting sovereign risk in the euro area via machine learning

Belly, Guillaume; Boeckelmann, Lukas; Caicedo Graciano, … - In: Journal of forecasting 42 (2023) 3, pp. 657-684

Persistent link: https://www.econbiz.de/10014292224

Forecasting credit ratings of EU banks

Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: International Journal of Financial Studies 8 (2020) 3, pp. 1-15

Support Vector Machines (SVM) models, given that the latter originates from the area of machine learning and is gaining …

Persistent link: https://www.econbiz.de/10013200296

Forecasting credit ratings of EU banks

Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: International Journal of Financial Studies : open … 8 (2020) 3/49, pp. 1-15

Support Vector Machines (SVM) models, given that the latter originates from the area of machine learning and is gaining …

Persistent link: https://www.econbiz.de/10012291875

The efficiency of ensemble classifiers in predicting the Johannesburg stock exchange All-Share index direction

Mokoaleli-Mokoteli, Thabang; Ramsumar, Shaun; … - In: Journal of financial management, markets and institutions 7 (2019) 2, pp. 1950001-1-1950001-18

Persistent link: https://www.econbiz.de/10012270679

Multi-output support vector frontiers

Valero-Carreras, Daniel; Aparicio, Juan - In: Computers & operations research : and their … 143 (2022), pp. 1-17

Persistent link: https://www.econbiz.de/10013343235

Support vector machines as Bayes' classifiers

Jackson, Peter L. - In: Operations research letters 50 (2022) 5, pp. 423-429

Persistent link: https://www.econbiz.de/10013449397