Ponencia
Confidence-Based Reasoning with Local Temporal Formal Contexts
Autor/es | Aranda Corral, Gonzalo A.
Borrego Díaz, Joaquín Galán Páez, Juan |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2011 |
Fecha de depósito | 2018-05-21 |
Publicado en |
|
ISBN/ISSN | 978-3-642-21497-4 0302-9743 |
Resumen | 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 ... 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. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | TIN2009-09492
TIC-6064 |
Cita | Aranda Corral, G.A., Borrego Díaz, J. y Galán Páez, J. (2011). Confidence-Based Reasoning with Local Temporal Formal Contexts. En IWANN 2011: 11th International Work-Conference on Artificial Neural Networks (461-468), Torremolinos-Málaga, Spain: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Confidence-Based Reasoning (1).pdf | 883.9Kb | [PDF] | Ver/ | |