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- Article] Using a case-based reasoning approach for trading in sports betting markets
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DocNo of ILP: 746
Doc. Type: Article
Title: Using a case-based reasoning approach for trading in sports betting markets
Authors: Alberola, JM; Garcia-Fornes, A
Full Name of Authors: Alberola, Juan M.; Garcia-Fornes, Ana
Keywords by Author: Sports betting markets; Trading; Odds prediction; Case-based reasoning; Humans
Keywords Plus: PREDICTION; SYSTEM
Abstract: The sports betting market has emerged as one of the most lucrative markets in recent years. Trading in sports betting markets entails predicting odd movements in order to bet on an outcome, whilst also betting on the opposite outcome, at different odds in order to make a profit, regardless of the final result. These markets are mainly composed by humans, which take decisions according to their past experience in these markets. However, human rational reasoning is limited when taking quick decisions, being influenced by emotional factors and offering limited calibration capabilities for estimating probabilities. In this paper, we show how artificial techniques could be applied to this field and demonstrate that they can outperform even the bevahior of high-experienced humans. To achieve this goal, we propose a case-based reasoning model for trading in sports betting markets, which is integrated in an agent to provide it with the capabilities to take trading decisions based on future odd predictions. In order to test the performance of the system, we compare trading decisions taken by the agent with trading decisions taken by human traders when they compete in real sports betting markets.
Cate of OECD: Computer and information sciences
Year of Publication: 2013
Business Area: lottery
Detail Business: sport betting
Country: Netherlands
Study Area:
Name of Journal: APPLIED INTELLIGENCE
Language: English
Country of Authors: [Alberola, Juan M.; Garcia-Fornes, Ana] Univ Politecn Valencia, Dept Sistemes Informat & Computacio, Valencia 46022, Spain
Press Adress: Alberola, JM (reprint author), Univ Politecn Valencia, Dept Sistemes Informat & Computacio, Cami de Vera S-N, Valencia 46022, Spain.
Email Address: jalberola@dsic.upv.es
Citaion: Garcia-Fornes, Ana/0000-0003-4482-8793
Funding: CONSOLIDER-INGENIO [CSD2007-00022, TIN2011-27652-C03-01]; Ministerio de Ciencia e Innovacion de Espana [AP2007-00289]
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Number of Citaion: 33
Publication: SPRINGER
City of Publication: DORDRECHT
Address of Publication: VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN: 0924-669X
29-Character Source Abbreviation: APPL INTELL
ISO Source Abbreviation: Appl. Intell.
Volume: 38
Version: 3
Start of File: 465
End of File: 477
DOI: 10.1007/s10489-012-0381-9
Number of Pages: 13
Web of Science Category: Computer Science, Artificial Intelligence
Subject Category: Computer Science
Document Delivery Number: 104QC
Unique Article Identifier: WOS:000316008400010
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