摘要
烟草行业每年都有大量的生产、销售数据可供参考和研究,如何利用现有的烟草信息资源来挖掘和掌握市场规律和消费特性,是烟草企业信息化建设的重要内容之一。文章提出通过多维规则挖掘算法对卷烟生产、销售数据进行分析和探索,运用数字化、信息化方式帮助烟草企业实现高质量发展,为高质量发展提供有力支撑。
The tobacco industry has a large number of production and sales data for reference and research every year.How to use the existing tobacco information resources to excavate and master market rules and consumption characteristics is one of the important contents of tobacco enterprise information construction.This paper proposes to analyze and explore cigarette production and sales data through multi-dimensional rule mining algorithm,and use digital and information methods to help tobacco enterprises achieve high-quality development and provide strong support for high-quality development.
出处
《科技创新与应用》
2022年第12期55-58,共4页
Technology Innovation and Application
关键词
数据挖掘
关联规则
多维关联规则挖掘
个性化定制
data mining
association rules
multidimensional association rule mining
personalized customization
