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Centre for Marketing Analytics

  1. 2005
  2. Published

    Predicting customer online shopping adoption - an evaluation of data mining and market modelling approaches

    Crone, S. & Soopramanien, D. G. R., 2005, Proceedings of The 2005 International Conference on Data Mining, DMIN 2005, Las Vegas, Nevada, USA. Athens: CSREA Press, p. 47-58 12 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  3. Published

    Spiking neural network training using evolutionary algorithms

    Pavlidis, N., Tasoulis, DK., Plagianakos, V. P., Vrahatis, M. N. & Nikiforidis, G., 2005, International Joint Conference on Neural Networks (IJCNN 2005). IEEE, Vol. 4. p. 2190-2194 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  4. 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/MagazineJournal articlepeer-review

  5. 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/ISSNChapter

  6. Published

    The accuracy of a procedural approach to specifying feedforward neural networks for forecasting

    Liao, K. P. & Fildes, R. A., 2005, In: Computers and Operations Research. 32, 8, p. 2151-2169 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. 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/ISSNConference contribution/Paperpeer-review

  8. Published

    Computing Nash equilibria through computational intelligence methods

    Pavlidis, N., Parsopoulos, K. E. & Vrahatis, M. N., 03/2005, In: Journal of Computational and Applied Mathematics. 175, 1, p. 113-136 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    The accuracy of intermittent demand estimates

    Syntetos, A. A. & Boylan, J., 1/04/2005, In: International Journal of Forecasting. 21, 2, p. 303-314 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    On the categorization of demand patterns

    Syntetos, A. A., Boylan, J. & Croston, J. D., 1/05/2005, In: Journal of the Operational Research Society. 56, 5, p. 495-503 9 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. 2006
  12. 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/ISSNConference contribution/Paperpeer-review

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