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作 者:黄文秀[1] HUANG Wen-xiu(Dongfang College of Fujian Agriculture and Forestry University,Fuzhou,Fujian 350715)
出 处:《软件》2018年第4期68-72,共5页Software
基 金:福建省中青年教师教育科研项目(JAT160682)
摘 要:我国是一个农业大国,农产品市场交易数据量与日剧增,这些数据具有多维动态、不完整、不确定及很强的时效性和地域性特点,如何有效地从这些数据中挖掘出具有预测性、时令性及指导性的实用信息已成为目前需要迫切研究解决的问题。本文结合农产品市场数据的特点,对基于Web农产品市场数据挖掘系统进行开发研究,并用案例对挖掘系统进行测试,为研究人员提供有价值的信息依据。As is well known, China is a large agricultural country. And the data of agricultural product market is rapidly increasing. Besides the characteristics of timeliness and region, the data is multi-dimensionally dynamic, incomplete and uncertain. Therefore, how to effectively dig out the practical information from the predictive, seasonal and guiding data has become an urgent problem needs to solve. The paper, combined with the characteristics of the data of agricultural product market, further studies the data mining system based on Web, and tests the system with the specific cases, in order to provide some valuable information for researchers.
分 类 号:TP311.132[自动化与计算机技术—计算机软件与理论]
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