Fakultät/Fachbereich: | Wirtschaftswissenschaftliche Fakultät > Statistik |
---|---|
Lehrstuhl/Institution: | Lehrstuhl für Statistik und Quantitative Methoden der Wirtschaftswissenschaften |
Position/Funktion: | Ehem. Mitarbeiter/in |
Webseite: | http://www.lums.lancs.ac.uk/mansci/profiles/sven-c... |
Sonstige Finanzierung
2011
- Selektion von Prognoseverfahren in Logistik und Supply Chain Management
Projektleitung: Crone, Dr. rer. pol. Sven; Küsters, Prof. Dr. Ulrich
Laufzeit: Mai 2011 - , abgeschlossen
Finanzierung: Sonstiges
Gruppierung nach
Jahr |
Publikationsform
2012
-
Crone, Sven F. ; Finaly, Steven:
Instance sampling in credit scoring: An analysis of sample size and balancing.
In: International Journal of Forecasting. 28 (2012) 1. - S. 224-238.
ISSN 0169-2070 ; 1872-8200
(Peer-Review-Journal)
2011
-
Crone, Sven F. ; Nikolopoulus, Konstantinos ; Hibon, Michèle:
Advances in Forecasting with Neural Networks? Empirical evidence from the NN3 competition on time series prediction.
In: International Journal of Forecasting. 27 (2011) 3. - S. 635-660.
ISSN 0169-2070 ; 1872-8200
(Peer-Review-Journal)
2010
-
Crone, Sven F. ; Kourentzes, Nikolaos:
Feature selection for time series prediction – a combined filter and wrapper approach for neural networks.
In: Neurocomputing : an international journal. 173 (2010) 10/12. - S. 1923-1936.
ISSN 0925-2312 ; 1872-8286
(Peer-Review-Journal)
2008
-
Fildes, Robert ; Nikolopoulus, Kostas ; Crone, Sven F.:
Forecasting and Operational Research : a Review.
In: Journal of the Operational Research Society : OR. 59 (2008) 9. - S. 1150-1172.
ISSN 0030-3623 ; 0160-5682
(Peer-Review-Journal)
2006
-
Crone, Sven F. ; Lessmann, Stefan ; Stahlbock, Robert:
The Impact of Preprocessing on Data Mining: An Evaluation of Support Vector Machines and Artificial Neural Networks.
In: European Journal of Operational Research. 178 (2006) 3. - S. 781-800.
ISSN 0377-2217
(Peer-Review-Journal) -
Crone, Sven F. ; Lessmann, Stefan ; Pietsch, Swantje:
Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction.
In: Proceedings of the IEEE World Congress in Computational Intelligence, WCCI’06, Vancouver, Canada. - New York : IEEE, 2006. - S. 396-402
ISBN 0-7803-9489-5 -
Lessmann, Stefan ; Stahlbock, Robert ; Crone, Sven F.:
Genetic Algorithms for Support Vector Machine Model Selection.
In: Proceedings of the IEEE World Congress in Computational Intelligence, WCCI’06, Vancouver, Canada. - New York : IEEE, 2006. - S. 3063-3069
ISBN 0-7803-9489-5
(Begutachteter Beitrag / peer-reviewed paper)
2005
-
Crone, Sven F.:
Stepwise Selection of Artificial Neural Network Models for Time Series Prediction.
In: Journal of intelligent systems. 14 (2005) 2/3. - S. 99-122.
ISSN 0334-1860
(Peer-Review-Journal) -
Crone, Sven F. ; Lessmann, Stefan ; Stahlbock, Robert:
Utility Based Data Mining for Time Series Analysis - Cost sensitive learning for Neural Network Predictors.
In: Weiss, Gary (Hrsg.): Proceedings of the 1st International Workshop on Utility-based Data Mining : 2005, Chicago, Illinois, August 21-21, 2005. - Chicago : ACM, 2005. - S. 59-68
ISBN 1-59593-208-9
2004
-
Crone, Sven F. ; Lessmann, Stefan ; Stahlbock, Robert:
Empirical Comparison and Evaluation of classifier Performance for data mining in Customer Relationship Management.
In: Proceedings of the IEEE International Joint Conference on Neural Networks, IJCNN’04, Budapest, Hungary, 25-29 July, 2004. - New York : IEEE, 2004. - S. 443-448
ISBN 0-7803-8359-1
2002
-
Crone, Sven F.:
Training Artificial Neural Networks using Asymmetric Cost Functions.
In: Wang, Lipo (Hrsg.): Computational Intelligence for the E-Age : proceedings of the 9th International Conference on Neural Information Processing ; ICONIP’02 ; November 18 - 22, 2002, Singapore. - Piscataway, NJ : IEEE, 2002. - S. 2374-2380
ISBN 981-047524-1
Eingestellt am: 29. Aug 2012 15:25
Letzte Änderung: 27. Apr 2023 11:51
URL zu dieser Anzeige: https://fordoc.ku.de/id/eprint/1711/
Letzte Änderung: 27. Apr 2023 11:51
URL zu dieser Anzeige: https://fordoc.ku.de/id/eprint/1711/