数据挖掘技术在食用菌商业数据分析中的应用  

The Application of Data Mining Technology in the Analysis of Edible Fungi Commercial Data

作　　者：刘钊勇[1] LIU Zhao-yong(Sichuan Vocational College of Chemical Technology,Luzhou 646005,China)

机构地区：[1]四川化工职业技术学院,四川泸州646005

出　　处：《中国食用菌》2020年第2期89-91,共3页Edible Fungi of China

摘　　要：为了充分挖掘食用菌商业数据的潜在价值,采用了关联规则算法对食用菌商业数据进行数据挖掘,对经典Apriori算法进行了改进,节省了数据库的访问开销,提升了数据挖掘的效率。改进后的数据挖掘算法可以帮助食用菌相关企业制定销售策略,为食用菌企业的商业决策提供科学依据。In order to fully mine the potential value of edible fungi business data, association rule algorithm is used to mine edible fungi business data, and the classic Apriori algorithm is improved to save the access cost of database and improve the efficiency of data mining. The improved data mining algorithm can help the edible fungi related enterprises to make sales strategies and provide scientific basis for the commercial decision-making of edible fungi enterprises.

关 键 词：食用菌 商业数据 数据挖掘 APRIORI算法 

分 类 号：S646.9[农业科学—蔬菜学]