COMPLEX CONCEPT LATTICES FOR SIMULATING HUMAN PREDICTION IN SPORT
查看参考文献26篇
|
文摘
|
In order to address the study of complex systems,the detection of patterns in their dynamics could play a key role in understanding their evolution. In particular,global patterns are required to detect emergent concepts and trends,some of them of a qualitative nature. Formal concept analysis (FCA) is a theory whose goal is to discover and extract knowledge from qualitative data (organized in concept lattices). In complex environments,such as sport competitions,the large amount of information currently available turns concept lattices into complex networks. The authors analyze how to apply FCA reasoning in order to increase confidence in sports predictions by means of detecting regularities from data through the management of intuitive and natural attributes extracted from publicly available information. The complexity of concept lattices-considered as networks with complex topological structure- is analyzed. It is applied to building a knowledge based system for confidence-based reasoning,which simulates how humans tend to avoid the complexity of concept networks by means of bounded reasoning skills. |
|
来源
|
Journal of Systems Science and Complexity
,2013,26(1):117-136 【核心库】
|
|
DOI
|
10.1007/s11424-013-2288-x
|
|
关键词
|
Bounded rationality
;
complex networks
;
formal concept analysis
;
sport forecasting
|
|
地址
|
1.
Universidad de Huelva. Department of Information Technology, Spain, Palos de La Frontera s/n, 21819
2.
Universidad de Sevilla. Department of Computer Science and Artificial Intelligence, Spain, Avda. Reina Mercedes s/n, 41012
|
|
语种
|
英文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1009-6124 |
|
学科
|
数学 |
|
基金
|
supported by the the Spanish Ministry of Science and Innovation
;
Excellence project of Junta de Andalucia co-financed by FEDER funds
|
|
文献收藏号
|
CSCD:4803760
|
参考文献 共
26
共2页
|
|
1.
. Why Spain will win...
Engineering & Technology,2010
|
CSCD被引
1
次
|
|
|
|
|
2.
Andersson P. Forecasting outcomes of the World Cup 2006 in football: Performance and confidence of bettors and laypeople.
Psychology of Sport & Exercise,2009,10(1):116-123
|
CSCD被引
1
次
|
|
|
|
|
3.
Schumaker R P. Sports data mining.
Integrated Series in Information Systems,2010,26:55-63
|
CSCD被引
1
次
|
|
|
|
|
4.
Vlastakis N. How efficient is the European football betting market? Evidence from arbitrage and trading strategies.
Journal of Forecasting,2009,28(5):426-444
|
CSCD被引
1
次
|
|
|
|
|
5.
Ganter B.
Formal Concept Analysis - Mathematical Foundations,1999
|
CSCD被引
2
次
|
|
|
|
|
6.
Aranda-Corral G A. Confidence-based reasoning with local temporal formal contexts.
Lecture Notes in Computer Science,2011,6692:461-468
|
CSCD被引
1
次
|
|
|
|
|
7.
Carling C.
Handbook of Soccer Match Analysis,2005
|
CSCD被引
1
次
|
|
|
|
|
8.
Oberstone J. Differentiating the top English premier league football clubs from the rest of the pack: Identifying the keys to success.
Journal of Quantitative Analysis in Sports,2009,5(3):Article 10
|
CSCD被引
1
次
|
|
|
|
|
9.
Goldstein D G. Fast and frugal forecasting.
Int. J. of Forecasting,2009,25(4):760-772
|
CSCD被引
2
次
|
|
|
|
|
10.
Goldstein D G. Models of ecological rationality: The recognition heuristic.
Psychological Review,2002,109(1):75-90
|
CSCD被引
15
次
|
|
|
|
|
11.
Min B. A compound framework for sports results prediction: A football case study.
Know. Based Syst,2008,21(7):551-562
|
CSCD被引
2
次
|
|
|
|
|
12.
Imberman S P. Using booleanized data to discover better relationships between metrics.
Proc. Int. CMG Conference,1999:530-539
|
CSCD被引
1
次
|
|
|
|
|
13.
Aranda-Corral G A. Bounded rationality for data reasoning based on formal concept analysis.
Proc. Int. Workshop on Database and Expert Systems Applications,2011:350-354
|
CSCD被引
1
次
|
|
|
|
|
14.
Simon H A.
Models of Bounded Rationality,1982
|
CSCD被引
8
次
|
|
|
|
|
15.
Andersson P.
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. 9 Stockholm School of Economics,2003
|
CSCD被引
1
次
|
|
|
|
|
16.
Guigues V. Familles minimales d' implications informatives resultant d'un tableau de donnees binaires.
Math. Sci. Humaines,1986,95:5-18
|
CSCD被引
1
次
|
|
|
|
|
17.
Aranda-Corral G A. Reconciling knowledge in social tagging web services.
Lecture Notes in Artificial Intelligence,2010,6077:383-390
|
CSCD被引
1
次
|
|
|
|
|
18.
Balcazar J L. Redundancy, deduction schemes, and minimum-size bases for association rules.
Logical Methods in Computer Science,2010,6(2):1-23
|
CSCD被引
2
次
|
|
|
|
|
19.
Giarratano J C.
Expert Systems: Principles and Programming,2005
|
CSCD被引
2
次
|
|
|
|
|
20.
Motter A E. Topology of the conceptual network of language.
Physical Review E,2002,65(6):065102
|
CSCD被引
141
次
|
|
|
|
|
了解气象卫星更多信息，请访问