Title :
A Web Based Product Price Forecast Using Fuzzy CBR
Author :
Yuan, Hongchun ; Ju, Jinling ; Chen, Ying ; Chen, Ming
Author_Institution :
Coll. of Inf. Technol., Shanghai Ocean Univ., Shanghai
Abstract :
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.
Keywords :
Internet; aquaculture; case-based reasoning; sustainable development; Web based product price forecast; aquaculture; automatic data extraction algorithms; case-based reasoning; fuzzy matching; sustainable development; Data analysis; Data mining; Economic forecasting; Flowcharts; Fuzzy logic; Fuzzy systems; Information retrieval; Technology forecasting; Testing; Weather forecasting; Aquatic products prices; Attribute-oriented induction; Case-based reasoning; Fussy matching;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.445
