An Abstracted 'Not so Expert' System

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McGrath, Michael (2009) An Abstracted 'Not so Expert' System. In: 4th IASTED International Conference on Computational Intelligence 2009. Kovalerchuk, B, ed. Curran Associates, Red Hook, NY, pp. 15-22.

Abstract

After falling out of favour during the 1990s, advisory expert systems and their underlying artificial intelligence (AI) technologies are now being used increasingly in organizational decision making activities – particularly, data mining. In this paper, an expert system designed for greyhound race tipping specifically (and investment advice more generally) is described. Our system is distinguished from others in two ways: i) the use of an abstracted schema allows ready extension to other investment domains; and ii) emphasis is placed on reducing complexity where possible – hence, the ‘not so expert’ system. Early indications are that the forecasts produced by our system compare favourably with those of both human experts and previous, relevant decision support systems (DSS). In: Proceedings Of The 4th IASTED International Conference on Computational Intelligence held 17-19 August 2009, Honolulu, Hawaii, USA

Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/5143
Official URL http://www.proceedings.com/06910.html
ISBN 9781615677528 (print) 9780889868069 (online)
Subjects Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Current > FOR Classification > 0806 Information Systems
Historical > SEO Classification > 9003 Tourism
Keywords ResPubID16938, expert systems, data abstraction, betting
Citations in Scopus 1 - View on Scopus
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