Research on the Application Development of Data Science in Customer Segmentation

被引:0
作者
Yuxuan Xu
机构
[1] Department of Economics,New York University
关键词
Data science; Customer segmentation; Application development;
会议名称
2017 3rd International Conference on Economics,Social Science,Arts,Education and Management Engineering(ESSAEME 2017)
会议时间
2017-07-01
会议地点
中国内蒙古呼和浩特
中图分类号
F274 [企业供销管理]
学科分类号
1201
类型
摘要
Data science is an emerging discipline that extracts knowledge from data,and is formally put forward in the context of the "fourth paradigm" of scientific research.The data used for business decision-making and scientific research have radically changed,characterized by the original mainstream sampling,structured,small-scale development to full data,semi-structured and unstructured,large-scale,driven data science developed into both Including traditional statistical methods,but also includes data mining,text mining,process mining and large data and other emerging technologies interdisciplinary.Customer segmentation is a typical data oriented business and research areas,data science in one of the application shows that the subject contains a variety of methods,can successfully extract complex customer related data contains information and knowledge,can solve the problem of the feasibility and effectiveness of customer segmentation,accuracy,and business practices for customer segmentation study provides good technology support and decision support.
引用
收藏
页码:2014 / 2018
页数:5
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