数据挖掘技术在母婴用品摆放中的应用

Data Mining Technology in the Application of Maternal and Infant Supplies Put

随着国家二胎的放开,母婴用品已经成为一个行业趋势.而随着现代技术的进步,母婴用品的质量已经不是消费者考虑的唯一因素了.就像超市产品一样,随着母婴用品的产品品牌的增加,母婴商店的行业竞争力也越来越大了.为了提高行业竞争力,如何放置母婴产品的顺序,如何才能吸引客户,成为现在母婴产品能够迅速普及的一个必要因素.文章采用经典的数据挖掘算法Apriori算法,并对算法本身存在的问题进行了改进,将改进的算法应用到母婴商店中商品的摆放上.通过这种方式,增进客户的购买欲望,增加母婴商店的市场竞争力.

As the country＇s second child, maternal and child supplies has become an indus- try trend. But with the progress of modern technology, the quality of maternal and infant supplies already not the only factors of consumers to consider. Like the supermarket products, with the in- crease of maternal and child supplies the product brand,the industry competitiveness of maternal and child stores is becoming more and more big. In order to enhance the competitiveness of indus- try,how to place the order of the maternal and infant products, how to attract customers, and is now one of the rapid expansion in the maternal and infant products can necessary factors. Based on the classic Apriori algorithm for data mining algorithm , and the problems existing in the algorithm itself is improved, the improved algorithm is applied to the maternal and child in the store of goods put on. By the way, improve customer purchase desire,increase the market competitiveness of maternal and infant stores.