Abstract
Racing (thoroughbred, harness and greyhound) brings many visitors and economic and social benefits to regional areas in Australia. Many casual gamblers, however, have little knowledge of racing and of the fundamental rules that underpin its various forms (which, while reasonably consistent across both location and type, do differ in some respects). Thus, in this paper, we introduce a decision support system designed to assist and educate novice punters. A motive underpinning this research was a desire to produce a tool that might assist visitors wishing to experience the Australian provincial racing circuit to get the most out of their involvement.
Preview
Unable to display preview. Download preview PDF.
References
Hamid, T. and Madnick, S.E. (1991). Software Project Dynamics: An Integrated Approach, Prentice Hall, Englewood Cliffs, NJ.
Alessi, S.M., and Petry, N.M. (2003). “Pathological Gambling Severity is Associated with Impulsivity in a Delay Discounting Procedure, Behavioural Processes, 64(3), 345–354.
Asch, P., Malkiel, B.G. and Quandt, R.E. (1984). “Market Efficiency in Racetrack Betting”, Journal of Business, 57(2), 165–175.
Beemer, B.A. and Gregg, D.A. (2008). “Advisory Systems to Support Decision Making”, Handbook on Decision Support Systems, Springer, Berlin, 511–528.
Berson, A., Smith, S. and Thearling, K. (1999). Building Data Mining Applications for CRM. McGraw Hill, New York.
Carbonell, J.G., Michalski, R.S. and Mitchell, T.M. (1983). “An Overview of Machine Learning”, in (R.S. Michalski, J.G. Carbonell and T.M. Mitchell eds.), Machine Learning, an Artificial Intelligence Approach, Tioga Publishing, Palo Alto, CA, 3–23.
Chen, H., Rinde, P.B., She, L., Sutjahjo, S., Sommer, C. and Neely, D. (1994). “Expert prediction, Symbolic Learning, and Neural Networks: An Experiment on Greyhound Racing”, IEEE Expert, 9(6), 21–27.
Cox, E. and O’Hagan, M. (1999). The Fuzzy Systems Handbook: A Practitioner’s Guide to Building, Using and Maintaining Fuzzy Systems, Morgan Kaufmann, San Francisco, CA.
CSES (2006). Economic and Social Contribution of Thoroughbred Horse Racing in Country Victoria. Centre for Strategic Economic Studies (CSES) and Centre for Hospitality and Tourism research (CHTR), Victoria University, Melbourne, Australia.
Davenport, T.H. and Harris, J.G. (2007). Competing on Analytics: The New Art of Winning, Harvard Business School Press: Boston, MA.
Debenham, J. K. (1985). “Knowledge Base Engineering”, Proceedings of the Eighth Australian Computer Science Conference, Melbourne, 1985.
de la Maza, M. (1989). “A SEAGUL Visits the Racetrack”, Proceedings of the 3 rd International Conference on Genetic Algorithms, Morgan Kaufmann, 208–212.
Hausch, D.B. and Ziemba, W.T. (1985). “Costs, Extent of Inefficiencies, Entries and Multiple Wagers in a Racetrack Betting Model”, Management Science 31(4), 381–394
Kim, K.J. (2004). “Toward Global Optimization of Case-Based Reasoning Systems for Financial Forecasting”, Applied Intelligence, 21(3), 239–249.
Lee, R.S.T. (2004). “iJade Stock Advisor: An Intelligent Agent Based Stock Prediction System Using Hybrid RBF Recurrent Network”, IEEE Transactions on Systems, Man and Cybernetics, 34(3), 421–428.
Luger, G. (2005). Artificial Intelligence: Structures and Strategies for Complex Problem Solving. Addison Wesley, Reading, MA.
McNatton, S.W. (1994). HOBBES: A Predicting Expert System for Thoroughbred Horse Racing, Research Thesis, University of Kentucky.
Minsky, M. (1975). “A Framework for the Representation of Knowledge”, in (P. Winston ed.), The Psychology of Computer Vision. McGraw Hill, New York, pp. 211–280.
Neal, P., Delfabbro, P. and O’Neil, M. (2005). Problem Gambling and Harm: Towards a National Definition, Office of Gaming and Racing, Victorian Government Department of Justice, Melbourne, Victoria, Australia
Rieger, C. (1975). “Conceptual Memory”, in (R. Schank ed.), Conceptual Information Processing. North Holland, Amsterdam.
Rojas, R. (1996). Neural Networks: A Systematic Introduction. Springer, Berlin.
Safe Gaming (2005). The Safe Gaming System, Retrieved 28/7/2008 from: http://www.iga.sa.gov.au/pdf/presentations/safe_gaming_system_iga_sa.pdf.
Segaran, T. (2007). Programming Collective Intelligence: Building Smart Web 2.0 Applications, O’Reilly Media, Sebastapol, CA.
Shalfield, R. (2004). Win-Prolog 4.700: Data Mining (User Reference Manual), LPA Ltd, London, UK.
Tsang, E., Butler, J.M. and Li, J. (1998). “EDDIE Beats the Bookies”, Journal of Software Practice and Experience, 28(10), 1033–1043.
Tsang, E., Yung, P. and Li, J. (2004). “EDDIE-Automation, a Decision Support Tool for Financial Forecasting”, Decision Support Systems, 37(4), 559–565.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag/Wien
About this paper
Cite this paper
McGrath, G.M. (2009). Towards Risk Minimization for Novice Gamblers: A ‘Not So Expert’ System. In: Höpken, W., Gretzel, U., Law, R. (eds) Information and Communication Technologies in Tourism 2009. Springer, Vienna. https://doi.org/10.1007/978-3-211-93971-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-211-93971-0_11
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-93970-3
Online ISBN: 978-3-211-93971-0