重庆工商大学学报（社会科学版）2016，Vol.33Issue(4)：56-61,6.DOI:10.3969/j.issn.1672-0598.2016.04.008
基于主成分 logistic 回归模型的餐饮商务信息意识研究
Research on the Catering Business Information Consciousness Based on Logistic Regression Model of Principal Component Analysis
摘要
Abstract
Data mining technology has become increasingly mature and has been widely used in financial,real estate,investment,e-valuation,banks and other fields.Data mining techniques can be applied to the catering industry to make analysis of its business deci-sions.Data mining in the field of other successful cases can also refer to the catering industry.This article has carried out the survey on whether the dining people in the restaurant business had information awareness and the extent the people emphasized information aware-ness.Principal component analysis and logistic regression in data mining process are used to analyze the collected data so as to illustrate the important value of data mining in the catering industry management and to reflect the restaurant information awareness of the dining people.Using data mining technology on food and beverage business information management is bound to improve business efficiency and profit level and to promote the healthy and stable development of the catering industry.关键词
数据挖掘/餐饮商务/主成分分析/logistic 回归/信息意识Key words
data mining/catering business/principal component analysis/logistic regression/information awareness分类
管理科学引用本文复制引用
李红霞..基于主成分 logistic 回归模型的餐饮商务信息意识研究[J].重庆工商大学学报（社会科学版）,2016,33(4):56-61,6.基金项目
重庆市教委科学技术项目（KJ1400631）；重庆市教育规划项目（2014-GX-092）；重庆市企业管理研究中心开放基金项目；重庆市教委人文社会科学项目（14SKH07）。 （）
