Abstract
Formal Concept Analysis (FCA) is a theory whose goal is to discover and to extract Knowledge from qualitative data. It provides tools for reasoning with implication basis (and association rules). In this paper we analyse how to apply FCA reasoning to increase confidence in sports betting, by means of detecting temporal regularities from data. It is applied to build a Knowledge based system for confidence reasoning.
Partially supported by TIN2009-09492 project (Spanish Ministry of Science and Innovation), cofinanced with FEDER founds and Proyecto de excelencia TIC-6064 of Junta de Andalucía.
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Aranda-Corral, G.A., Borrego Díaz, J., Galán Páez, J. (2011). Confidence-Based Reasoning with Local Temporal Formal Contexts. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21498-1_58
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