摘要
【研究目的】通过应用数据挖掘技术解决农业信息领域"信息爆炸,但知识贫乏的问题",提高农业信息资源的利用率。【方法】深入分析农业信息所具备的特点:生产力性,价值转移性,专业性,增值性,时空变异性,并且简要介绍数据挖掘技术。【结果】提出数据挖掘技术应用于农业具体领域的建议,并且根据数据挖掘的流程及其相关技术特点,构架设计出具有3层机构的农业数据挖掘系统,并具体阐述每层的功能,其次介绍农业挖掘工具集以其相关特点。【结论】数据挖掘技术为农业领域科学家提供了使用数据、分析数据以及从中抽取知识的方便有效的手段,在信息爆炸的今天,在现有农业数据库基础上,通过数据挖掘技术来进一步提升农业信息服务水平具有十分重要的意义。
[OBJECTIVE] By taking use the technology of data mining to resolve the problem of ＂information explosion but lack of knowledge ＂in agricultural information area, improve the utihzation ratio of agriculture information resources.[METHOD]The author gave a profound analysis of agricultural information characters, including productive, value transfer, specialty, proliferating, time and space variation, and briefly introduce the data mining technology. [RESULTS]The author offer a proposal that using data mining in agriculture area, and on the foundation of the process and the concrete technology of data mining, construct a data mining system with three layers, elaborate the functions of each layer specifically, and then introduce the toolkit of agricultural data mining and its characters. [CONCLUSION] Data mining technologies provides the methods of using, analysis database and obtaining the knowledge from it, these methods are very useful for the agricultural scientists, nowadays the information explode so fast that it is significant to improve the service level of the agricultural information resources based on using the data mining technical.
出处
《中国农学通报》
CSCD
北大核心
2009年第11期243-247,共5页
Chinese Agricultural Science Bulletin
基金
中国农业科学院农业信息研究所基本科研业务费"基于提纯的农业信息分类系统"(2008211)
科研院所技术开发研究专项"基于智能检索的西藏科技资源共享技术"
关键词
农业信息
农业数据挖掘系统
数据挖掘
工具集
架构
agricultural information, agriculture data mining system, data mining, toolkit, construction
