publication . Preprint . Conference object . 2011

Selecting Attributes for Sport Forecasting using Formal Concept Analysis

Aranda Corral, Gonzalo A.; Borrego Díaz, Joaquín; Galán Páez, Juan;
Open Access English
  • Published: 27 Jul 2011
  • Country: Spain
Abstract
In order to address complex systems, apply pattern recongnition on their evolution could play an key role to understand their dynamics. Global patterns are required to detect emergent concepts and trends, some of them with qualitative nature. 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). Implications and association rules are usefull to reasoning on previously selected attributes, providing a formal foundation for logical reasoning. In this paper we analyse how to apply FCA reasoning to increase confidence in sport...
Subjects
free text keywords: Computer Science - Artificial Intelligence
Related Organizations
17 references, page 1 of 2

Why Spain will win..., Engineering & Technology 5 June - 18 June 2010.

J. A. Alonso-Jime´nez, G. A. Aranda-Corral, J. Borrego-D´ıaz, and M. M. Ferna´ndez-Lebr o´n, M. J. Hidalgo-Doblado, Extending Attribute Exploration by Means of Boolean Derivatives, Proc. 6th Int. Conf. Concept Lattices and Their Applications (CLA2008), pp. 121-132 (2008).

P. Andersson, M. Ekman, J. Edman, Forecasting the fast and frugal way: A study of performance and information-processing strategies of experts and non-experts when predicting the World Cup 2002 in soccer, Working Paper Series in Business Administration 2003:9, Stockholm School of Economics.

G. A. Aranda-Corral, J. Borrego-D´ıaz, Reconciling Knowledge in social tagging web services. Proc. 5th Int. Conf. Hybrid AI Systems (HAIS 2010), LNAI, vol. 6077. Springer-Verlag, Berlin, 383-390 (2010). [OpenAIRE]

G. A. Aranda-Corral, J. Borrego-D´ıaz, J. Gala´n-Pa´ez, ConfidenceBased Reasoning with Local Temporal Formal Contexts. to appear in IWANN 2011, LNCS (2011).

G. A. Aranda-Corral, J. Borrego-D´ıaz, J. Gala´n-Pa´ez, Bounded Rationality for Data Reasoning based on Formal Concept Analysis. To appear in DEXA Workshop DALI (2011).

W. Armstrong, Dependency structures of data base relationships. Proc. of IFIP Congress, Geneva, 580-583 (1974).

J.L. Balca´zar, Redundancy, Deduction Schemes, and MinimumSize Bases for Association Rules, Logical Methods in Computer Science 6(2):1-23 (2010).

E. Brunswik, Representative design and probabilistic theory in a functional psychology. Psychological Review, (62):193-217 (1955). [OpenAIRE]

B. Ganter and R. Wille. Formal Concept Analysis - Mathematical Foundations. Springer, 1999.

J. C. Giarratano, G.D. Riley, Expert Systems: Principles and Programming. Brooks/Cole Publishing Co ( 2005).

D. G. Goldstein, G. Gigerenzer, Reasoning The Fast and Frugal Way: Models of Bounded Rationality, Psychological Review 103(4): 650-669 (1996).

D. G. Goldstein, G. Gigerenzer, Models of ecological rationality: the recognition heuristic, Psychological review, 109(1): 75- 90 (2002).

D.G. Goldstein, G. Gigerenzer, Fast and frugal forecasting. International Journal of Forecasting, 25, 760-772 (2009). [OpenAIRE]

Guigues, J.-L., Duquenne, V.: Familles minimales d' implications informatives resultant d'un tableau de donnees binaires. Math. Sci. Humaines 95, 5-18 (1986).

17 references, page 1 of 2
Abstract
In order to address complex systems, apply pattern recongnition on their evolution could play an key role to understand their dynamics. Global patterns are required to detect emergent concepts and trends, some of them with qualitative nature. 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). Implications and association rules are usefull to reasoning on previously selected attributes, providing a formal foundation for logical reasoning. In this paper we analyse how to apply FCA reasoning to increase confidence in sport...
Subjects
free text keywords: Computer Science - Artificial Intelligence
Related Organizations
17 references, page 1 of 2

Why Spain will win..., Engineering & Technology 5 June - 18 June 2010.

J. A. Alonso-Jime´nez, G. A. Aranda-Corral, J. Borrego-D´ıaz, and M. M. Ferna´ndez-Lebr o´n, M. J. Hidalgo-Doblado, Extending Attribute Exploration by Means of Boolean Derivatives, Proc. 6th Int. Conf. Concept Lattices and Their Applications (CLA2008), pp. 121-132 (2008).

P. Andersson, M. Ekman, J. Edman, Forecasting the fast and frugal way: A study of performance and information-processing strategies of experts and non-experts when predicting the World Cup 2002 in soccer, Working Paper Series in Business Administration 2003:9, Stockholm School of Economics.

G. A. Aranda-Corral, J. Borrego-D´ıaz, Reconciling Knowledge in social tagging web services. Proc. 5th Int. Conf. Hybrid AI Systems (HAIS 2010), LNAI, vol. 6077. Springer-Verlag, Berlin, 383-390 (2010). [OpenAIRE]

G. A. Aranda-Corral, J. Borrego-D´ıaz, J. Gala´n-Pa´ez, ConfidenceBased Reasoning with Local Temporal Formal Contexts. to appear in IWANN 2011, LNCS (2011).

G. A. Aranda-Corral, J. Borrego-D´ıaz, J. Gala´n-Pa´ez, Bounded Rationality for Data Reasoning based on Formal Concept Analysis. To appear in DEXA Workshop DALI (2011).

W. Armstrong, Dependency structures of data base relationships. Proc. of IFIP Congress, Geneva, 580-583 (1974).

J.L. Balca´zar, Redundancy, Deduction Schemes, and MinimumSize Bases for Association Rules, Logical Methods in Computer Science 6(2):1-23 (2010).

E. Brunswik, Representative design and probabilistic theory in a functional psychology. Psychological Review, (62):193-217 (1955). [OpenAIRE]

B. Ganter and R. Wille. Formal Concept Analysis - Mathematical Foundations. Springer, 1999.

J. C. Giarratano, G.D. Riley, Expert Systems: Principles and Programming. Brooks/Cole Publishing Co ( 2005).

D. G. Goldstein, G. Gigerenzer, Reasoning The Fast and Frugal Way: Models of Bounded Rationality, Psychological Review 103(4): 650-669 (1996).

D. G. Goldstein, G. Gigerenzer, Models of ecological rationality: the recognition heuristic, Psychological review, 109(1): 75- 90 (2002).

D.G. Goldstein, G. Gigerenzer, Fast and frugal forecasting. International Journal of Forecasting, 25, 760-772 (2009). [OpenAIRE]

Guigues, J.-L., Duquenne, V.: Familles minimales d' implications informatives resultant d'un tableau de donnees binaires. Math. Sci. Humaines 95, 5-18 (1986).

17 references, page 1 of 2
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