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  • Search: subject:"Ensemble Classifiers"
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Year of publication
Subject
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Forecasting model 3 Prognoseverfahren 3 bankruptcy prediction 3 ensemble classifiers 3 Classification 2 Ensemble classifiers 2 Insolvency 2 Insolvenz 2 Klassifikation 2 bagging 2 boosting 2 scoring models 2 stacking 2 AUC 1 Adaboost.M1 1 Aktienindex 1 Brain-Computer Interface 1 Börsenhandel 1 CRM 1 Corporate failure prediction 1 Ensemble Classifiers 1 Forecast 1 ICA 1 Mankoff's Criteria 1 Mustererkennung 1 N-Class Classification 1 P300 1 Pattern recognition 1 Poland 1 Polen 1 Prognose 1 RFECV 1 RotBoost 1 Rotation Forest 1 SMOTE 1 SVM 1 South Africa 1 Stock exchange trading 1 Stock index 1 Südafrika 1
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Online availability
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Free 4 Undetermined 3 CC license 1
Type of publication
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Article 6 Book / Working Paper 1
Type of publication (narrower categories)
All
Article in journal 3 Aufsatz in Zeitschrift 3 Article 1
Language
All
English 6 Undetermined 1
Author
All
Pisula, Tomasz 2 Aboalsamh, Hatim 1 Alangari, Nourah 1 BOCK, K. W. DE 1 Belwafi, Kais 1 Bhat, Aamir Rashid 1 Cortés, Esteban Alfaro 1 Gannouni, Sofien 1 Lavanya, Vilvanathan 1 Martínez, Matías Gámez 1 Mathkour, Hassan 1 Mokoaleli-Mokoteli, Thabang 1 POEL, D. VAN DEN 1 Ramsumar, Shaun 1 Rubio, Noelia García 1 Shahana, T. 1 Vadapalli, Hima 1
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Institution
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Faculteit Economie en Bedrijfskunde, Universiteit Gent 1
Published in...
All
International Advances in Economic Research 1 International Journal on Semantic Web and Information Systems (IJSWIS) 1 International journal of enterprise network management : IJENM 1 Journal of Risk and Financial Management 1 Journal of financial management, markets and institutions 1 Journal of risk and financial management : JRFM 1 Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 1
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Source
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ECONIS (ZBW) 3 RePEc 2 EconStor 1 Other ZBW resources 1
Showing 1 - 7 of 7
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Ensemble classifiers for bankruptcy prediction using SMOTE and RFECV
Shahana, T.; Lavanya, Vilvanathan; Bhat, Aamir Rashid - In: International journal of enterprise network management … 15 (2024) 1, pp. 109-132
Persistent link: https://www.econbiz.de/10014512994
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An ensemble classifier-based scoring model for predicting bankruptcy of Polish companies in the Podkarpackie Voivodeship
Pisula, Tomasz - In: Journal of risk and financial management : JRFM 13 (2020) 2/37, pp. 1-35
bankruptcy by using ensemble classifiers. The main goal of the research was to develop a scoring model (with good classification …
Persistent link: https://www.econbiz.de/10012173703
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An ensemble classifier-based scoring model for predicting bankruptcy of Polish companies in the Podkarpackie Voivodeship
Pisula, Tomasz - In: Journal of Risk and Financial Management 13 (2020) 2, pp. 1-35
bankruptcy by using ensemble classifiers. The main goal of the research was to develop a scoring model (with good classification …
Persistent link: https://www.econbiz.de/10012611247
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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
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BCWB: A P300 Brain-Controlled Web Browser
Belwafi, Kais; Gannouni, Sofien; Alangari, Nourah; … - In: International Journal on Semantic Web and Information … 13 (2017) 2, pp. 55-73
Web access and web resources open many horizons, their usage increases in all life aspects including government, education, commerce and entertainment, where the key to such resources lies in Web browsers. Acknowledging the importance of universal accessibility to web resources, the W3C has...
Persistent link: https://www.econbiz.de/10012048260
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An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
BOCK, K. W. DE; POEL, D. VAN DEN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2011
rotation-based ensemble classifiers are proposed as modeling techniques for customer churn prediction. In Rotation Forests …
Persistent link: https://www.econbiz.de/10009143417
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Multiclass Corporate Failure Prediction by Adaboost.M1
Cortés, Esteban Alfaro; Martínez, Matías Gámez; … - In: International Advances in Economic Research 13 (2007) 3, pp. 301-312
Predicting corporate failure is an important management science problem. This is a typical classification question where the objective is to determine which indicators are involved in the failure or success of a corporation. Despite the complexity of the matter, a two-class problem has usually...
Persistent link: https://www.econbiz.de/10005705527
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