摘要
针对电子商务推荐销售的需求和FP-Growth算法不产生候选集的特性,提出利用FP-Growth算法,运用VC++程序开发工具,对某一电商卖家的数据进行频繁项集挖掘,针对挖掘得到的频繁K项集,指导卖家如何组合商品销售。试验结果表明利用FP-Growth算法在电商组合销售中是有效的。
According to the needs of e-commerce sales and FP-Growth algorithm does not produce a candidate set, this paper present using FP-Growth algorithm and VC ＋ ＋application development tools to to mine the frequent item sets. In view of the frequent K-item set, guide online sellers recommended combination of sales to the buyer. The results showed that using of FP-Growth algorithm in e-commerce sales is valid.
出处
《科技与企业》
2014年第14期148-149,151,共3页
Science-Technology Enterprise
