Confidence-based reasoning with local temporal formal contexts

Authors:
Gonzalo A. Aranda-Corral;Joaquín Borrego Díaz;Juan Galán Páez
Affiliations:
Universidad de Huelva, Department of Information Technology, Palos de La Frontera, Spain;Universidad de Sevilla, Department of Computer Science and Artificial Intelligence, Sevilla, Spain;Universidad de Sevilla, Department of Computer Science and Artificial Intelligence, Sevilla, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Year:
2011

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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.