Abstract
We address the construction of a prediction model from data available in a complex environment. We first present a data extraction method that is able to leverage information contained in the movements of all variables in recent observations. This improved data extraction is then used with a common multivariate regression technique: Partial Least Squares (PLS) regression. We experimentally validate this combined data extraction and modeling with data from a competitive multi-agent supply chain setting, the Trading Agent Competition for Supply Chain Management (TAC SCM). Our method achieves competitive (and often superior) performance compared to the state-of-the-art domain-specific prediction techniques used in the 2008 Prediction Challenge competition.
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Groves, W., Gini, M. (2013). Improving Prediction in TAC SCM by Integrating Multivariate and Temporal Aspects via PLS Regression. In: David, E., Robu, V., Shehory, O., Stein, S., Symeonidis, A. (eds) Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets. AMEC TADA 2011 2011. Lecture Notes in Business Information Processing, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34889-1_3
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DOI: https://doi.org/10.1007/978-3-642-34889-1_3
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