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一种基于CBR的网络水产品价格预测方法
引用本文:袁红春,陈明,黄冬梅.一种基于CBR的网络水产品价格预测方法[J].计算机应用与软件,2008,25(12).
作者姓名:袁红春  陈明  黄冬梅
作者单位:上海水产大学信息学院,上海,200090
基金项目:国家"十一五"科技支撑计划项目  
摘    要:水产品价格的科学预测对水产业健康可持续发展具有重要作用。提出了一种基于案例推理CBR(Case—Based Reasoning)的水产品价格预测方法,其包括网络数据自动获取、基于概念树的面向属性归纳、案例的生成与表示、案例匹配及相似性计算、案例评价与修正等关键过程。在关键过程研究基础上实现了预测系统,并对网络水产品价格数据进行预测实验。结果表明,该系统能自动采集权威网站水产品价格数据,并能对水产品价格进行有效的分析与预测。

关 键 词:水产品价格  预测  面向属性归纳  基于案例推理

A CBR-BASED APPROACH FOR FORECASTING WEB PRICES OF AQUATIC PRODUCTS
Yuan Hongchun,Chen Ming,Huang Dongmei.A CBR-BASED APPROACH FOR FORECASTING WEB PRICES OF AQUATIC PRODUCTS[J].Computer Applications and Software,2008,25(12).
Authors:Yuan Hongchun  Chen Ming  Huang Dongmei
Affiliation:Yuan Hongchun Chen Ming Huang Dongmei(College of Information Technology,Shanghai Fisheries University,Shanghai 200090,China)
Abstract:It plays an important role to scientifically forecast the prices of aquatic products for the healthy and sustainable development of aquaculture.In this paper it presents a method for forecasting aquatic products' prices based on Case-Based Reasoning(CBR) and its key processes,such as automatic web data acquisition,attribute-oriented induction based on concept tree,generation and representation of cases,cases matching and similarity calculation,case evaluation and revision,etc.A prediction system based on th...
Keywords:Aquatic product price Forecasting Attribute-oriented induction Case-based reasoning  
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