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ORCIDSven F. Crone
Person information
- affiliation: Lancaster University, Department of Management, UK
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2010 – 2019
- 2019
[j6]Sebastián Maldonado
, Agustín González, Sven F. Crone:
Automatic time series analysis for electric load forecasting via support vector regression. Appl. Soft Comput. 83 (2019)- 2016
- [j5]Timo P. Kunz, Sven F. Crone, Joern Meissner:
The effect of data preprocessing on a retail price optimization system. Decis. Support Syst. 84: 16-27 (2016) - [c32]Mirko Kück, Sven F. Crone, Michael Freitag:
Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data. IJCNN 2016: 1499-1506 - [c31]Sven F. Crone, Stephan Hager:
Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting. IJCNN 2016: 1515-1522 - 2014
- [j4]Nikolaos Kourentzes, Devon K. Barrow, Sven F. Crone:
Neural network ensemble operators for time series forecasting. Expert Syst. Appl. 41(9): 4235-4244 (2014) - [c30]Sven F. Crone, Christian Koeppel:
Predicting exchange rates with sentiment indicators: An empirical evaluation using text mining and multilayer perceptrons. CIFEr 2014: 114-121 - [c29]Timo P. Kunz, Sven F. Crone:
Demand models for the static retail price optimization problem - A Revenue Management perspective. SCOR 2014: 101-125 - 2013
- [c28]F. Bahramy, Sven F. Crone:
Forecasting foreign exchange rates using Support Vector Regression. CIFEr 2013: 34-41 - [c27]Fahad H. Al-Qahtani, Sven F. Crone:
Multivariate k-nearest neighbour regression for time series data - A novel algorithm for forecasting UK electricity demand. IJCNN 2013: 1-8 - [c26]Devon K. Barrow, Sven F. Crone:
Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples. IJCNN 2013: 1-8 - 2011
- [c25]Nikolaos Kourentzes, Sven F. Crone:
Semi-supervised monitoring of electric load time series for unusual patterns. IJCNN 2011: 2852-2859 - [c24]Sven F. Crone, Nikolaos Kourentzes:
The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. IJCNN 2011: 3285-3292 - 2010
- [j3]Sven F. Crone, Nikolaos Kourentzes:
Feature selection for time series prediction - A combined filter and wrapper approach for neural networks. Neurocomputing 73(10-12): 1923-1936 (2010) - [c23]Nikolaos Kourentzes, Sven F. Crone:
Inference for Neural Network Predictive Models with Impulse Interventions. DMIN 2010: 273-279 - [c22]Devon K. Barrow, Sven F. Crone, Nikolaos Kourentzes:
An evaluation of neural network ensembles and model selection for time series prediction. IJCNN 2010: 1-8 - [c21]Sven F. Crone, Nikolaos Kourentzes:
Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction. IJCNN 2010: 1-8 - [c20]Nikolaos Kourentzes, Sven F. Crone:
Frequency independent automatic input variable selection for Neural Networks for forecasting. IJCNN 2010: 1-8 - [p1]Robert Stahlbock, Stefan Lessmann, Sven F. Crone:
Data Mining and Information Systems: Quo Vadis? Data Mining 2010: 1-15 - [e6]Robert Stahlbock, Sven F. Crone, Mahmoud Abou-Nasr, Hamid R. Arabnia, Nikolaos Kourentzes, Philippe Lenca, Wolfram-Manfred Lippe, Gary M. Weiss:
Proceedings of The 2010 International Conference on Data Mining, DMIN 2010, July 12-15, 2010, Las Vegas, Nevada, USA. CSREA Press 2010, ISBN 1-60132-138-4 [contents] - [e5]Robert Stahlbock, Sven F. Crone, Stefan Lessmann:
Data Mining - Special Issue in Annals of Information Systems. Annals of Information Systems 8, Springer 2010, ISBN 978-1-4419-1279-4 [contents]
2000 – 2009
- 2009
- [c19]Sven F. Crone, Nikolaos Kourentzes:
Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality. DMIN 2009: 232-238 - [c18]Sven F. Crone, Nikolaos Kourentzes:
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. IJCNN 2009: 619-626 - [e4]Robert Stahlbock, Sven F. Crone, Stefan Lessmann:
Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. CSREA Press 2009, ISBN 1-60132-099-X [contents] - 2008
- [j2]Robert Fildes, Konstantinos Nikolopoulos, Sven F. Crone, Aris A. Syntetos:
Forecasting and operational research: a review. J. Oper. Res. Soc. 59(9): 1150-1172 (2008) - [e3]Robert Stahlbock, Sven F. Crone, Stefan Lessmann:
Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes. CSREA Press 2008, ISBN 1-60132-062-0 [contents] - 2007
- [c17]Sven F. Crone, Rohit Dhawan:
Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters. IJCNN 2007: 2099-2104 - [c16]Sven F. Crone, Swantje Pietsch:
A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition. IJCNN 2007: 2454-2459 - [e2]Robert Stahlbock, Sven F. Crone, Stefan Lessmann:
Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA. CSREA Press 2007, ISBN 1-60132-031-0 [contents] - 2006
- [j1]Sven F. Crone, Stefan Lessmann, Robert Stahlbock:
The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. Eur. J. Oper. Res. 173(3): 781-800 (2006) - [c15]Sven F. Crone, Dieter B. Preßmar:
An Extended Evaluation Framework for Neural Network Publications in Sales Forecasting. Artificial Intelligence and Applications 2006: 179-186 - [c14]Sven F. Crone, Jose Guajardo, Richard Weber:
The Impact of Preprocessing on Support Vector Regression and Neural Networks in Time Series Prediction. DMIN 2006: 37-44 - [c13]Sven F. Crone, Stefan Lessmann, Swantje Pietsch:
Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting. DMIN 2006: 396-402 - [c12]Yukun Bao, Rui Zhang, Sven F. Crone:
Fuzzy Support Vector Machines Regression for Business Forecasting: An Application. FSKD 2006: 1313-1317 - [c11]Sven F. Crone, Jose Guajardo, Richard Weber:
A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns. IFIP AI 2006: 149-158 - [c10]Stefan Lessmann, Sven F. Crone, Robert Stahlbock:
An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. IJCNN 2006: 347-354 - [c9]Stefan Lessmann, Robert Stahlbock, Sven F. Crone:
Genetic Algorithms for Support Vector Machine Model Selection. IJCNN 2006: 3063-3069 - [c8]Sven F. Crone, Stefan Lessmann, Swantje Pietsch:
Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction. IJCNN 2006: 3159-3166 - [e1]Sven F. Crone, Stefan Lessmann, Robert Stahlbock:
Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006. CSREA Press 2006, ISBN 1-60132-004-3 [contents] - 2005
- [c7]Sven F. Crone, Didier Soopramanien:
Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches. DMIN 2005: 215-221 - [c6]Robert Stahlbock, Stefan Lessmann, Sven F. Crone:
Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning. IC-AI 2005: 60-66 - [c5]Stefan Lessmann, Robert Stahlbock, Sven F. Crone:
Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. IC-AI 2005: 74-82 - [c4]Stefan Lessmann, Robert Stahlbock, Sven F. Crone:
Genetically Constructed Kernels for Support Vector Machines. OR 2005: 257-262 - 2004
- [c3]Sven F. Crone:
A Business Forecasting Competition Approach to Modeling Artificial Neural Networks for Time Series Prediction. IC-AI 2004: 207-213 - [c2]Sven F. Crone, Patrick C. Graffeille:
An Evaluation Framework for Publications on Artificial Neural networks in Sales Forecasting. IC-AI 2004: 221-227 - 2003
- [c1]Sven F. Crone:
Artificial Neural Networks for Time Series Prediction - A Novel Approach to Inventory Management Using Asymmetric Cost Functions. IC-AI 2003: 193-199
Coauthor Index
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