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Reducing complexity in multivariate electricity price forecasting

Kohrs, Hendrik; Auer, Benjamin R.; Schuhmacher, Frank - In: International journal of energy sector management 16 (2022) 1, pp. 21-49

Persistent link: https://www.econbiz.de/10012797670

Bankruptcy prediction using support vector machines and feature selection during the recent financial crisis

Dellepiane, Umberto; Di Marcantonio, Michele; Laghi, Enrico - In: International journal of economics and finance 7 (2015) 8, pp. 182-195

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A Multi-Verse Optimizer Approach for Instance Selection and Optimizing 1-NN Algorithm

Dif, Nassima; Elberrichi, Zakaria - In: International Journal of Strategic Information … 9 (2018) 2, pp. 35-49

Instance selection and feature selection are important steps in the data mining process. They help reduce the excessive number of instances and features. The purpose of this reduction is to eliminate the noisy and redundant instances and features in order to improve the classifiers performance....

Persistent link: https://www.econbiz.de/10012047913

Feature selection and instance selection using cuttlefish optimisation algorithm through tabu search

Karunakaran, V.; Suganthi, M.; Rajasekar, V. - In: International journal of enterprise network management … 11 (2020) 1, pp. 32-64

Persistent link: https://www.econbiz.de/10012287222

Predicting earnings management through machine learning ensemble classifiers

Hammami, Ahmad; Zadeh, Mohammad Hendijani - In: Journal of forecasting 41 (2022) 8, pp. 1639-1660

Persistent link: https://www.econbiz.de/10013465733

Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis

Kurtcan, Betul Durkaya; Ozcan, Tuncay - In: Journal of forecasting 42 (2023) 6, pp. 1329-1340

Persistent link: https://www.econbiz.de/10014338889

Forecasting the insolvency of US banks using Support Vector Machines (SVMs) based on local learning feature selection

Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: International journal of computational economics and … 3 (2013) 1/2, pp. 83-90

Persistent link: https://www.econbiz.de/10010250320

A study of feature selection techniques for predicting customer retention in telecommunication sector

Sivasankar, E.; Vijaya, J. - In: International journal of business information systems : … 31 (2019) 1, pp. 1-26

Persistent link: https://www.econbiz.de/10012062925

Classifying businesses by economic activity using web-based text mining

Roelands, Maarten; Delden, Arnout van; Windmeijer, Dick - 2017

Persistent link: https://www.econbiz.de/10011756363

A new framework of credit scoring system based on support vector machine for credit risk management : evidence from banks and financial institutions

Daneshgar, Farid; Hoseini, Vahid - In: International journal of economic perspectives : IJEP 11 (2017) 3, pp. 557-565

Persistent link: https://www.econbiz.de/10012209372