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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hongchun Yuan Jinling Ju Ying Chen Ming Chen |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Inf. Technol., Shanghai Ocean Univ., Shanghai (Hongchun Yuan; Jinling Ju) |
| Abstract | The ability to scientifically and accurately forecast product price fluctuations plays a crucial role in the development of the contemporary market economy and consequently results in vigorous research in the area. This paper presents a new forecast method using multi-granularity of time and case-based reasoning (CBR) with fuzzy matching of cases featuring certain fluctuations. The method has been applied in aquaculture with aquatic product prices as test data. Results of experiments have proved the method highly feasible and accurate in aquatic product price forecasts. |
| Starting Page | 28 |
| Ending Page | 32 |
| File Size | 321580 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769532905 |
| DOI | 10.1109/CCCM.2008.353 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-03 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Attribute-oriented induction Fluctuations Databases Heuristic algorithms Fuzzy matching Case-based reasoning Product prices Cognition Forecasting Aquaculture |
| Content Type | Text |
| Resource Type | Article |
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