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  • ½ºÆ÷Ã÷º£ÆÃ | Cases and Studies in Sports Betting | 体ëÀÚÏóô

    date : 2015-05-20 01:10|hit : 2452
    Article] Using a case-based reasoning approach for trading in sports betting markets
    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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