Prediction model of key customer loss in e-commerce combined with Cemo real time streaming data framework-Reference-Cited by-同舟云学术

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Prediction model of key customer loss in e-commerce combined with Cemo real time streaming data framework

Published:2019-08-07 Issue:9 Volume:43 Page:889-896
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Zeng Min¹²,Li Fenjuan¹²,Feng Huiping¹²

Affiliation:

1. Business School, Pingxiang University, Pingxiang, People’s Republic of China

2. Pingxiang College Electronic Commerce Research Center, Pingxiang, People’s Republic of China

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2019.1649345

Reference18 articles.

1. Customer demand analysis of the electronic commerce supply chain using Big Data

2. An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce

3. Flow-inspector: a framework for visualizing network flow data using current web technologies

4. A real-time control framework for smart power networks: Design methodology and stability

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