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数据挖掘技术在果蔬配送中的应用
引用本文:李晓琳,王晓耘.数据挖掘技术在果蔬配送中的应用[J].商品储运与养护,2013(12):63-65.
作者姓名:李晓琳  王晓耘
作者单位:杭州电子科技大学,浙江杭州310018
摘    要:近几年来,数据量的剧增让越来越多的企业认识到了大数据在未来发展和竞争中的重要性,也使得透过凌乱纷繁的数据对动态的客户需求进行分析的难度增加。考虑到果蔬物流配送的发展前景,文中在原有果蔬配送研究的基础上结合数据挖掘技术发现隐藏在大数据背后的客户以往的需求趋势,并对其未来的需求趋势进行预测,进而保证企业在日趋激烈的商业环境下永续发展。

关 键 词:大数据  数据挖掘  用户需求  果蔬配送动态化

Application of Data Mining Technology in the Fruit and Vegetable Distribution
LI Xiao-lin,WANG Xiao-yun.Application of Data Mining Technology in the Fruit and Vegetable Distribution[J].Storage Transportation & Preservation of Commodities,2013(12):63-65.
Authors:LI Xiao-lin  WANG Xiao-yun
Institution:(Hangzhou Dianzi University,Hangzhou 310018, China)
Abstract:In recent years, the data explosion makes more and more enterprises recognize the importance of data in the future development and competition, also increase the difficulty of dynamic customer demand analysis through the numerous and complicated data. Taking into account the development prospect of fruit and vegetable distribution, based on the original research of fruit and vegetable distribution,we adopt data mining techniques to the discovery of the demand tendency hidden in the data behind the customer before, and predict the future trend of demand, so as to ensure the sustainable development of enterprises in the increasingly fierce business environment.
Keywords:big data  data mining  consumer demand  dynamic fruit and vegetable distribution
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