NDLI: Logistic Growth Prediction of B2C E-Commerce Based on Nonlinear Integral

Content Provider	IEEE Xplore Digital Library
Author	Li Fang-Min Huang You-Wen
Copyright Year	2014
Description	Author affiliation: Guangzhou Vocational Coll. of Sci. & Technol., Guangzhou, China (Li Fang-Min; Huang You-Wen)
Abstract	The precise logistics growth prediction can provide important reference for economic growth and consumer groups. According to the traditional logistics growth prediction method, the ordinary time prediction method was used to predict large deviations, and the result was unstable. So an improved logistic growth prediction of B2C e-commerce was proposed based on nonlinear integral. Firstly, the old data of logistic was analyzed, and then the nonlinear integral approach was used to predict growth of the B2C e-commerce step by step, the accurate logistics growth was achieved. Finally, B2C platform was used to do predict experiment, the result shows that nonlinear integral method can be used in the application, the prediction outcome is stable and reliable, and it has good predictive significance and application value in practice.
Sponsorship	Shenzhen Res. Inst., Central South Univ.
Starting Page	341
Ending Page	344
File Size	1207426
Page Count	4
File Format	PDF
e-ISBN	9781479966363
DOI	10.1109/ICICTA.2014.89
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis B2C Computational modeling Estimation E-Commerce Predictive models prediction Prediction algorithms Electronic commerce Logistics
Content Type	Text
Resource Type	Article

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