Maturity, distance and density (MD 2) metrics for optimizing trust prediction for business intelligence
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Bibliographic InfoArticle provided by Springer in its journal Journal of Global Optimization.
Volume (Year): 51 (2011)
Issue (Month): 2 (October)
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Web page: http://www.springer.com/business/operations+research/journal/10898
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- John Davis, 2005. "Introduction," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(3), pages 361-361.
- Holt, Charles C., 2004. "Author's retrospective on 'Forecasting seasonals and trends by exponentially weighted moving averages'," International Journal of Forecasting, Elsevier, vol. 20(1), pages 11-13.
- Holt, Charles C., 2004. "Forecasting seasonals and trends by exponentially weighted moving averages," International Journal of Forecasting, Elsevier, vol. 20(1), pages 5-10.
- J. Bermúdez & J. Segura & E. Vercher, 2008. "SIOPRED: a prediction and optimisation integrated system for demand," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 16(2), pages 258-271, December.
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