中国农业科技导报2012，Vol.14Issue(6)：84-90,7.DOI:10.3969/j.issn.1008-0864.2012.06.14
数据挖掘技术在烟草行业中的应用
Application of Data Mining Technology in Tobacco Industry
摘要
Abstract
As an emerging knowledge discovery technology, data mining technology has been widely used in business, logistics, finance and other industries. This paper introduces the application of data mining technology in tobacco agriculture involving the evaluation of tobacco soil quality and precise fertilization, tobacco species selection, the forecast of tobacco diseases and pests and natural disasters, and the estimation of tobacco yield and tobacco leaf grading. Moreover, the practice of data mining in cigarette warehouse management, cigarette logistics distribution, cigarette marketing and cigarette sensory quality evaluation of raw materials in tobacco industrial management are also described. The paper also prospects the future for applying data mining technology, so as to promote its applications in tobacco industry, and enhance the competitiveness of tobacco enterprises in the market.关键词
数据挖掘/统计/烟草/分析Key words
data mining/ statistic/ tobacco/ analysis分类
社会科学引用本文复制引用
田临卿,许自成..数据挖掘技术在烟草行业中的应用[J].中国农业科技导报,2012,14(6):84-90,7.基金项目
中国烟草总公司科技攻关重大专项(Ts-02-20110018)资助. （Ts-02-20110018）
