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农业信息数据挖掘的粗糙集方法研究与实例
引用本文:刘刚.农业信息数据挖掘的粗糙集方法研究与实例[J].计算机与农业,2008(5):51-54.
作者姓名:刘刚
作者单位:温州科技职业学院计算机系,浙江温州325006
摘    要:我国是个农业大国,农业数据量极大,手工处理工作量大且不准确。本文研究了将粗糙集理论运用于农业数据挖掘的计算机处理方法,提出了基于粗糙集理论的农业数据挖掘的基本算法和模型,并通过实例对其进行了验证。

关 键 词:数据挖掘  粗糙集  农业信息

Research and example of rough set method on agricultural information date
LIU Gang.Research and example of rough set method on agricultural information date[J].Computer and Agriculture,2008(5):51-54.
Authors:LIU Gang
Institution:LIU Gang (Department of Computer, Wenzhou Vocational College of Science and Technology, Wenzhou 325006, China)
Abstract:As a large agricultural country, China has a huge quantity of agricultural data. Manual data processing needs large work volume and turns out to be inaccurate. This paper researches the computer processing method of the application of rough set theory on agricultural data mining, offers the basic algorithm and model of agricultural data mining based on rough sets theory, and validated it with example.
Keywords:Data mining  Rough sets  Agricultural information
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