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Stefan Lessmann
2010 – today
- 2013
[j11]Hubertus Brandner, Stefan Lessmann, Stefan Voß: A memetic approach to construct transductive discrete support vector machines. European Journal of Operational Research 230(3): 581-595 (2013)- [c16]Stefan Lessmann: Modelling Mismatch In Predictive Analytics: A Case Study Illustration And Possible Remedy. ECIS 2013: 104
- 2012
- [j10]Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson, Tiejun Ma: A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction. European Journal of Operational Research 218(1): 163-174 (2012)
- [j9]Ming-Chien Sung, Stefan Lessmann: Save the best for last? The treatment of dominant predictors in financial forecasting. Expert Syst. Appl. 39(15): 11898-11910 (2012)
- 2011
- [j8]Stefan Lessmann, Marco Caserta, Idel Montalvo Arango: Tuning metaheuristics: A data mining based approach for particle swarm optimization. Expert Syst. Appl. 38(10): 12826-12838 (2011)
- [j7]Stefan Lessmann, M.-C. Sung, Johnnie E. V. Johnson: Towards a methodology for measuring the true degree of efficiency in a speculative market. JORS 62(12): 2120-2132 (2011)
- [c15]Hubertus Brandner, Stefan Lessmann, Stefan Voß: Support of Managerial Decision Making by Transductive Learning. Wirtschaftsinformatik 2011: 18
- 2010
- [j6]Stefan Lessmann, Stefan Voß: Customer-Centric Decision Support. Business & Information Systems Engineering 2(2): 79-93 (2010)
- [c14]Stefan Lessmann, Mariana Listiani, Stefan Voß: Decision Support in Car Leasing: a Forecasting Model for Residual Value Estimation. ICIS 2010: 17
- [p1]Robert Stahlbock, Stefan Lessmann, Sven F. Crone: Data Mining and Information Systems: Quo Vadis? Data Mining 2010: 1-15
- [e5]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): Data Mining - Special Issue in Annals of Information Systems. Annals of Information Systems 8, Springer 2010, ISBN 978-1-4419-1279-4
2000 – 2009
- 2009
- [j5]Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson: Identifying winners of competitive events: A SVM-based classification model for horserace prediction. European Journal of Operational Research 196(2): 569-577 (2009)
- [j4]Stefan Lessmann, Stefan Voß: A reference model for customer-centric data mining with support vector machines. European Journal of Operational Research 199(2): 520-530 (2009)
- [j3]Stefan Lessmann, Sebastian Schüller, Stefan Voß: Kostensensitive Klassifikation mit Random Forest. HMD - Praxis Wirtschaftsinform. 268 (2009)
- [c13]
- [c12]Sebastian Schüller, Stefan Lessmann, Stefan Voß: A Case Study of Random Forest in Predictive Data Mining. Wirtschaftsinformatik (2) 2009: 319-328
- [e4]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): 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
- 2008
- [j2]Stefan Lessmann, Bart Baesens, Christophe Mues, Swantje Pietsch: Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings. IEEE Trans. Software Eng. 34(4): 485-496 (2008)
- [c11]Marco Caserta, Stefan Lessmann, Stefan Voß: A Novel Approach to Construct Discrete Support Vector Machine Classifiers. GfKl 2008: 115-125
- [c10]Stefan Lessmann, Ning Li, Stefan Voß: A Case Study of Core Vector Machines in Corporate Data Mining. HICSS 2008: 78
- [c9]Nicole Martin, Stefan Lessmann, Stefan Voß: Crowdsourcing: Systematisierung praktischer Ausprägungen und verwandter Konzepte. Multikonferenz Wirtschaftsinformatik 2008
- [e3]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): 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
- 2007
- [e2]Robert Stahlbock, Sven F. Crone, Stefan Lessmann (Eds.): 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
- 2006
- [j1]Sven F. Crone, Stefan Lessmann, Robert Stahlbock: The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing. European Journal of Operational Research 173(3): 781-800 (2006)
- [c8]Sven F. Crone, Stefan Lessmann, Swantje Pietsch: Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting. DMIN 2006: 396-402
- [c7]Stefan Lessmann, Sven F. Crone, Robert Stahlbock: An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning. IJCNN 2006: 347-354
- [c6]Stefan Lessmann, Robert Stahlbock, Sven F. Crone: Genetic Algorithms for Support Vector Machine Model Selection. IJCNN 2006: 3063-3069
- [c5]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 (Eds.): 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
- 2005
- [c4]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
- [c3]Stefan Lessmann, Robert Stahlbock, Sven F. Crone: Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. IC-AI 2005: 74-82
- [c2]Stefan Lessmann, Robert Stahlbock, Sven F. Crone: Genetically Constructed Kernels for Support Vector Machines. OR 2005: 257-262
- 2004
- [c1]Stefan Lessmann: Solving Imbalanced Classification Problems with Support Vector Machines. IC-AI 2004: 214-220
Coauthor Index
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last updated on 2013-10-02 11:10 CEST by the dblp team