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目前,受国际气候影响,我国国际贸易业务处在越来越激烈的竞争态势,贸易企业进行的传统的国际贸易效率越来越需要进一步的技术要求跟上,贸易效率也越来越成为贸易战略的核心,贸易监测和评估已成为贸易企业的必须策略。将贸易对象作为重要资源进行分析是当今国际贸易竞争取得优势的关注点。本文采用数据驱动方法将数据挖掘与国际贸易业对象相结合作为重点来分析,目的是为减少企业在国际贸易中的那些不确定贸易对象损失,进而提高贸易业绩。
At present, under the influence of the international climate, China’s international trade business is experiencing increasingly fierce competition. The traditional international trade efficiency of trading companies increasingly requires further technical requirements to keep pace, and trade efficiency has increasingly become a trade strategy. At the core, trade monitoring and evaluation has become an essential strategy for trading companies. The analysis of trade partners as an important resource is a point of concern for the advantages of today’s international trade competition. This paper adopts a data-driven approach that combines data mining with the object of the international trade industry as a key point of analysis. The purpose is to reduce the loss of uncertain trade partners in international trade, and thus improve trade performance.