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A new feature selection technique applied to credit scoring data using a rank aggregation approach based on optimization, genetic algorithm, and similarity

Bouaguel, Waad; Mufti, Ghazi Bel; Limam, Mohamed - In: Knowledge discovery process and methods to enhance …, (pp. 347-375). 2015

Persistent link: https://www.econbiz.de/10012123362

An evolutionary-based adaptive neuro-fuzzy inference system for intelligent short-term load forecasting

Kazemi, S. M. R.; Hoseini, Mir Meisam Seied; … - In: International transactions in operational research : … 21 (2014) 2, pp. 311-326

Persistent link: https://www.econbiz.de/10010256672

The application of corporate governance indicators with XBRL technology to financial crisis prediction

Li, Chien-Kuo; Liang, Deron; Lin, Fengyi; Chen, Kwo-Liang - In: Emerging markets finance & trade : a journal of the … 51 (2015), pp. 58-72

Persistent link: https://www.econbiz.de/10011603386

Default patterns in seven EU countries : a random forest approach

Behr, Andreas; Weinblat, Jurij - In: International journal of the economics of business 24 (2017) 2, pp. 181-222

Persistent link: https://www.econbiz.de/10011755502

Building predictive models for feature selection in genomic mining

Figini, Silvia; Giudici, Paolo - 2006

Building predictive models for genomic mining requires feature selection, as an essential preliminary step to reduce the large number of variable available. Feature selection is a process to select a subset of features which is the most essential for the intended tasks such as classification,...

Persistent link: https://www.econbiz.de/10010326099

Wind power forecasting using the k-nearest neighbors algorithm

Mangalova, E.; Agafonov, E. - In: International journal of forecasting 30 (2014) 2, pp. 402-406

Persistent link: https://www.econbiz.de/10010510891

Putting Big Data analytics to work : feature selection for forecasting electricity prices using the LASSO and random forests

Ludwig, Nicole; Feuerriegel, Stefan; Neumann, Dirk - In: Journal of decision systems 24 (2015) 1, pp. 19-36

Persistent link: https://www.econbiz.de/10011333347

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

Persistent link: https://www.econbiz.de/10011346867

Forecasting bank credit ratings

Gkonkas, Periklēs; Papadimitriou, Theophilos; … - In: Journal of risk finance : the convergence of financial … 15 (2014) 2, pp. 195-209

Persistent link: https://www.econbiz.de/10010337459

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

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