基于跨境电商可控关联性大数据的出口产品销量动态预测模型

发布时间：2018-02-24 06:19

本文关键词： 互联网+外贸跨境电商可控关联性大数据出口产品销量动态预测　出处：《计算机应用》2017年04期 　论文类型：期刊论文

【摘要】：目前流行的外贸产品销量预测方法单纯地分别从第三方平台或大数据角度研究预测问题,对互联网平台、跨境电商、大数据融合应用于产品销量动态演化预测的考虑不足。为提高出口产品销量预测效果,实现预测系统的伸缩性和动态演化性,基于研究"互联网+外贸"环境下跨境电商出口产品销量可控关联性大数据挖掘、个性化预测机制、智慧预测算法,改进分布式定量、集中式定性计算等相应算法,提出一个"互联网+外贸"驱动下基于跨境电商可控关联性大数据的出口产品销量动态预测模型,并进行了应用实验,对各种模型的实验结果进行对比分析。实验结果表明,该模型充分融合了"互联网+"的开放性、可延伸性和大数据动态预测优势,实现了"互联网+外贸"环境下基于跨境电商可控关联性大数据的出口产品销量动态、智慧、定量定性预测。该模型综合预测效果明显优于传统模型,具有较强的动态演化性和较高的实用价值。
[Abstract]:At present, the popular methods for forecasting sales of foreign trade products are studied separately from the perspective of third-party platforms or big data. For Internet platforms and cross-border e-commerce, Big data's application in forecasting the dynamic evolution of sales volume is insufficient. In order to improve the effect of forecasting sales volume of export products and realize the scalability and dynamic evolution of the forecasting system, Based on the study of controllable relevance big data mining, personalized forecasting mechanism, intelligent forecasting algorithm, improving distributed quantitative calculation, centralized qualitative calculation and other corresponding algorithms under the environment of "Internet foreign trade", This paper proposes a dynamic forecasting model of export sales volume based on the controllable correlation of cross-border e-commerce, big data, driven by "Internet foreign trade", and carries out an application experiment. The experimental results of various models are compared and analyzed. The experimental results show that, This model fully integrates the openness, extensibility and big data's dynamic prediction advantage of "Internet", and realizes the sales dynamics and wisdom of the export products based on the controllable relevance of the cross-border e-commerce business in the environment of "Internet foreign trade". The comprehensive prediction effect of this model is obviously better than that of the traditional model, which has strong dynamic evolution and high practical value.
【作者单位】：浙江东方职业技术学院信息传媒与自动化学院;
【基金】：浙江省社会科学界联合会研究课题成果(2017Z03)~~
【分类号】：F724.6;F752.62;TP311.13

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