摘要
简述了数据挖掘技术及其在农业中的应用。针对农业普查数据,分析了数据挖掘系统结构,并详细描述了农业数据的预处理。利用关联规则FP-Tree算法从农业产值的大量相关历史数据中挖掘农作物数据的各种属性与其农业产值之间的关联关系,为农民及时有效的对农业生产做出规划和调整提供科学依据。
This paper introduces the technique of the data mining and its application in agricultural. It analyzes the architecture of the data mining system based on agriculture investigation data, and describes the agricultural data preprocessing at large. And furthermore, using association rule,it attempts to find out the relationship between agricultural output value and kinds of attribute of crops data from a great deal of correlative history data, providing the scientific basis of decision-making for the farmer. They can make efficacious layout and modulate for farm production in time.
出处
《太原科技大学学报》
2008年第5期335-338,共4页
Journal of Taiyuan University of Science and Technology
关键词
关联规则
FP—Tree算法
农业产值
ssociation rule, FP-Tree algorithm, agricultural output value
