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     Advance Journal of Food Science and Technology


Analysis of Food E-commerce Consuming Behavior Based on Web Data Mining Theory

Wu Shengliang
School of Business, Sias International University, Zhengzhou, China
Advance Journal of Food Science and Technology  2016  11:874-878
http://dx.doi.org/10.19026/ajfst.10.2279  |  © The Author(s) 2016
Received: July ‎7, ‎2015  |  Accepted: August ‎2, ‎2015  |  Published: April 15, 2016

Abstract

Consumer behavior analysis is an important part of customer relationship management, the traditional analysis is based on the basic theory of economics, no quantitative studies, the results have certain limitations. In the development of the new technology, data mining technology is a powerful data analysis technique and its application in customer relationship management is getting more and more attention. However, from the point of view of the application layer, data mining and customer relationship management have quite one part is in the field of commercial applications, application in non business areas have great development. In this study, the knowledge of related fields are introduced in detail and analyzes the typical application of data mining technology in the application of customer relationship management system. Combined with project management, provides a project implementation process model based on data mining.

Keywords:

Customer relationship management, data mining, food e-commerce,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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