摘要
为了提高食用菌企业的信息管理水平,开发设计了食用菌信息平台,给出了食用菌信息平台的总体设计和主要功能模块。并将食用菌信息平台中海量的历史数据进行整合,设计了食用菌数据仓库、讨论了数据仓库的主题、数据模型和维度划分等关键问题。在SQL Server中利用关联规则算法实现了食用菌信息的数据挖掘。该平台可以实现食用菌信息的有效管理,并能够从中挖掘出一些未知的、隐藏的有用信息,为食用菌企业决策管理层提供更多的辅助决策信息,促进食用菌企业科学发展。
In order to improve the information management level of edible fungi enterprises,the edible fungi information platform is developed and designed,and the overall design and main function modules of the edible fungi information platform are given.The massive historical data in the edible fungi information platform are integrated,the edible fungi data warehouse is designed,and the key issues such as the theme,data model and dimension division of the data warehouse are discussed In SQL server,association rule algorithm is used to realize data mining of mushroom information.This platform can realize the effective management of edible fungi information,and can dig out some unknown and hidden useful information from it,and provide more auxiliary decision-making information for the decision-making management of edible fungi enterprises,so as to promote the scientific development of edible fungi enterprises.
作者
宋佳珍
罗帅
SONG Jia-zhen;LUO Shuai(School of Information Technology,Hunan College of Foreign Studies,Changsha 410116,China;School of Information Science and Technology,Hunan Agricultural University,Changsha 410128,China)
出处
《中国食用菌》
北大核心
2020年第9期107-110,共4页
Edible Fungi of China
基金
2018年湖南省教育厅科学研究项目(18C1749)。
关键词
食用菌信息
数据挖掘
数据仓库
edible fungi information
data mining
data warehouse
