Research on the Application Development of Data Science in Customer Segmentation

DOI

10.2991/essaeme-17.2017.409How to use a DOI?

Keywords

Data science, Customer segmentation, Application development

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuxuan Xu
PY  - 2017/07
DA  - 2017/07
TI  - Research on the Application Development of Data Science in Customer Segmentation
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.409
DO  - 10.2991/essaeme-17.2017.409
ID  - Xu2017/07
ER  -