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基于数据挖掘对电商促销活动的销量预测研究 被引量:2

Sales forecast of electric business promotion activities based on data mining
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摘要 通过研究以往电商促销活动基本情况及历史数据,运用数据挖掘与数据分析技术对某次促销活动销量进行预测和分析,针对淘宝店是否参加这次电商促销活动的决策问题,基于整体销量的角度进行决策建模分析。经过对销量的预测分析,可得到促销活动对销量增长的促进作用是否可以达到商家的要求,是否可以帮助商家盈利或者可以获得比不参加促销活动更大的利润,从而帮助商家做出正确的销售决策。 By studying the basic situation and historical data of previous e-commerce promotion activities,this paper forecasts and analyzes the sales volume of a promotion activity using data mining and data analysis method,and conducts decision-making modeling analysis from the perspective of overall sales volume for the decision-making problem of whether taobao stores participate in this e-commerce promotion activity.After the above forecast analysis on sales,it is feasible to learn whether the activities'promotion of sales growth can meet the requirements of the merchants,whether participating in the activities could help the business to make a profit or get a bigger profit than not to participate in the activities.Therefore,the research is helpful for merchants to make the right sales decisions.
作者 刘帅 李相如 赵润方 徐旭 张文杰 李艳娟 LIU Shuai;LI Xiangru;ZHAO Runfang;XU Xu;ZHANG Wenjie;LI Yanjuan(College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China)
出处 《智能计算机与应用》 2019年第5期338-340,共3页 Intelligent Computer and Applications
关键词 电商促销活动 销售效应 数据挖掘 e-commerce promotional activities sales effect data mining
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