摘要
烟草产品在销售过程中产生了大量的历史数据,是否能挖掘出其中潜在的高价值信息对烟草物流公司至关重要.本文采用一种比较高效的fp-growth算法设计了烟草产品销售决策支持系统,实践应用表明改进后的fp-growth算法能快速的发现不同时期烟草产品之间的销售规律和关系,占用内存更小、响应速度更快,为烟草物流公司及时掌握烟草产品之间的销售规律提供了有价值的参考.
It is vital to tobacco logistical company whether you can dig the potential high valued information from the substantial historical data that create during the tobacco products selling. This article adopts a more efficient algorithm that of fp-growth to design sales of tobacco products decision and support system, and the practice indicates the improved fp-growth algorithm is able to discover the sales discipline and relationship of tobacco products in various terms. In the algorithm, memory occupied is lower and respond speed is faster, which provides valuable references for tobacco logistical company on mastering sales discipline of tobacco products timely.
出处
《计算机系统应用》
2016年第3期204-208,共5页
Computer Systems & Applications
基金
河南省科技攻关项目(142102210156
122102210024)
