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A web based product price forecast using fuzzy CBR


Yuan, H and Ju, JS and Chen, Y and Chen, M, A web based product price forecast using fuzzy CBR, Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 18-20 October 2008, Jinan, Shandong, China, pp. 493-497. ISBN 978-0-7695-3305-6 (2008) [Refereed Conference Paper]

Copyright Statement

Copyright 2008 IEEE

DOI: doi:10.1109/FSKD.2008.445


A healthy and sustainable development of aquaculture requires an accurate forecast of aquatic product prices. This paper presents an experiment with a web-based application to perform product price prediction. It integrates three key technologies: automatic data extraction algorithms to retrieve aquatic product prices from various related websites, attribute-oriented induction algorithms to capture varied time granularity data and Case-Based Reasoning (CBR) as its reasoning logic to deal with a focus on fuzzy matching. Test results of the experiment have shown that the application can successfully extract the web-based data as designed and effectively analyze the data leading to a reliable forecast of aquatic product prices.

Item Details

Item Type:Refereed Conference Paper
Keywords:aquaculture, product prices, product price prediction, automatic data extraction algorithms, attribute-oriented induction algorithms, Case-Based Reasoning, CBR
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Artificial intelligence not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Chen, Y (Ms Ying Chen)
ID Code:55787
Year Published:2008
Deposited By:Information and Communication Technology
Deposited On:2009-03-13
Last Modified:2015-02-12

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