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Centre for Marketing Analytics

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  1. Published

    Cloud & fog computing: intelligent applications

    Chen, M.-Y., Lughofer, E. D. & Egrioglu, E., 31/10/2021, In: Enterprise Information Systems. 15, 9, p. 1197-1199 3 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Hedging parameter selection for basis pursuit

    Chretien, S., Gibberd, A. & Roy, S., 4/05/2018, In: arXiv. 12 p.

    Research output: Contribution to Journal/Magazine › Journal article

  3. Published

    The periodic review model with independent age‐dependent lifetimes

    Clarkson, J., Voelkel, M. A., Sachs, A. & Thonemann, U. W., 31/03/2023, In: Production and Operations Management. 32, 3, p. 813-828 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Designing Serious Games for Revenue Management Training and Strategy Development

    Cleophas, C., 9/12/2012, WSC '12 Proceedings of the Winter Simulation Conference. Berlin, Germany: Association for Computing Machinery (ACM), p. 140:1–140:12 12 p. 140. (Proceedings of the Winter Simulation Conference).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Multi-agent modelling for revenue management

    Cleophas, C., 03/2012, In: Journal of Revenue and Pricing Management. 11, 2, p. 240-242 3 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    Ten myths of revenue management – A practitioner's view

    Cleophas, C. & Frank, M., 01/2011, In: Journal of Revenue and Pricing Management. 10, 1, p. 26-31 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    When Are Deliveries Profitable? Considering Order Value and Transport Capacity in Demand Fulfillment for Last-Mile Deliveries in Metropolitan Areas

    Cleophas, C. & Ehmke, J. F., 1/06/2014, In: Business and Information Systems Engineering. 6, 3, p. 153-163 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Simulation-based key performance indicators for evaluating the quality of airline demand forecasting

    Cleophas, C., Frank, M. & Kliewer, N., 08/2009, In: Journal of Revenue and Pricing Management. 8, 4, p. 330-342 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Resilient revenue management: A literature survey of recent theoretical advances

    Cleophas, C., Kadatz, D. & Vock, S., 1/10/2017, In: Journal of Revenue and Pricing Management. 16, 5, p. 483-498 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    The applications of revenue management and pricing

    Cleophas, C., Yeoman, I., McMahon-Beattie, U. & Veral, E., 8/12/2010, Revenue Management: A Practical Pricing Perspective. Yeoman, I. & McMahon-Beattie, U. (eds.). London: Palgrave Macmillan, p. 9-16 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  11. Published

    Recent developments in demand forecasting for airline revenue management

    Cleophas, C., Frank, M. & Kliewer, N., 2009, In: International Journal of Revenue Management. 3, 3, p. 252-269 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  12. Published

    Excavating the Treasure of IoT Data: An Architecture to Empower Rapid Data Analytics for Predictive Maintenance of Connected Vehicles

    Cleophas, C., 10/12/2017.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  13. Published

    Wavelet Spectra for Multivariate Point Processes

    Cohen, E. & Gibberd, A., 30/09/2022, In: Biometrika. 109, 3, p. 837–851 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  14. Published

    A neural network approach for the Theta model

    Constantinidou, C., Nikolopoulos, K., Bougioukos, N., Tsiafa, E., Petropoulos, F. & Assimakopoulos, V., 2012, In: Lecture Notes in Information Technology. 25, p. 116-120 5 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  15. Published

    AR–ARCH Type Artificial Neural Network for Forecasting

    Corba, B. S., Egrioglu, E. & Dalar, A. Z., 1/02/2020, In: Neural Processing Letters. 51, p. 819–836 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  16. Published

    The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing

    Crone, S., Lessmann, S. & Stahlbock, R., 2006, In: European Journal of Operational Research. 173, 3, p. 781-800 20 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  17. Published

    Stepwise selection of artificial neural network models for time series prediction

    Crone, S., 2005, In: Journal of Intelligent Systems. 14, 2-3, p. 99-122 24 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  18. Published

    Künstliche neuronale Netze zur betrieblichen Entscheidungsunterstützung

    Crone, S., 2003, In: WISU - Das Wirtschaftsstudium. 32, 4, p. 452-458 7 p.

    Research output: Contribution to Journal/Magazine › Journal article

  19. Published

    Forecasting with computational intelligence - An evaluation of support vector regression and artificial neural networks

    Crone, S., Lessmann, S. & Pietsch, S., 2006, Proceedings of the World Congress in Computational Intelligence, WCCT06 (Vancouver, Canada) - 2006, IEEE: New York. N/A: IEEE Computer Society Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  20. Published

    The impact of preprocessing on support vector regression and neural networks in time series prediction

    Crone, S., Guajardo, J. & Weber, R., 2006, Proceedings of the International Conference on Data Mining DMIN'06 (Las Vegas, USA) 2006, CSREA, pp.37-42. N/A: unknown, p. 37-42 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  21. Published

    A study on the ability of support vector regression and neural networks to forecast basic time series patterns

    Crone, S., Guajardo, J. & Weber, R., 2006, Artificial Intelligence in Theory and Practice, Proceedings of the IFIP World Congress in Computation, WCC'06 (Santiago, Chile) - 2006, Springer: New York, Vol. 217, pp.149-158. Berlin: Springer

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  22. Published

    An extended evaluation framework for neural network publications in sales forecasting

    Crone, S. & Prebmar, D., 2006, Proceedings of the International Conference on Applied Artificial Intelligence, AIA'06 (Innsbruck, Austria) - 2006, ACTA Press: Calgary, pp.179-186. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  23. Published

    Utility based data mining for time series analysis - Cost sensitive learning for neural network predictors

    Crone, S., Lessmann, S. & Stahlbock, R., 2005, Proceedings of the International Workshop on Utility-based Data Mining, ACM Conference on Knowledge Discovery in Data, KDD'05 (Chicago, USA) 2005. N/A: unknown, p. 59-68 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  24. Published

    Support vector machines versus artificial neural networks - new potential in data mining for customer relationship management?

    Crone, S., Lessmann, S. & Stahlbock, R., 2005, Neural Network Applications in Information Technology and Web Engineering. Malaysia: Borneo Publishing, p. 80-93 14 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  25. Published

    Forecasting in inventory management using artificial neural networks - a novel approach through asymmetric cost functions

    Crone, S., 2003, Einsatz von Fuzzy Sets, Neuronalen Netzen und Kunstlicher Intelligenz in industrieller Produktion und Umweltforschung. Dusseldorf: VDI

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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