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

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

493

Lastpage

497

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.445

Filename

4666294