Research on sales information prediction system of e-commerce enterprises based on time series model-Reference-Cited by-同舟云学术

Research on sales information prediction system of e-commerce enterprises based on time series model

Published:2019-01-22 Issue:4 Volume:18 Page:823-836
ISSN:1617-9846
Container-title:Information Systems and e-Business Management
language:en
Short-container-title:Inf Syst E-Bus Manage

Author:

Liu Jian,Liu Chunlin,Zhang Lanping,Xu Yi

Funder

National Natural Science Foundation of China, the Impact of Basic Social Responsibility on Strategic Charity: A Perspective of Stakeholder Cognitive Conflict

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10257-019-00399-7.pdf

Reference12 articles.

1. Arunraj NS, Ahrens D (2015) A hybrid seasonal autoregressive integrated moving average and quantile regression for daily food sales forecasting. Int J Prod Econ 170:321–335

2. Bretschneider S, Gorr W (2016) Economic, organizational, and political influences on biases in forecasting state sales tax receipts. Int J Forecast 7(4):457–466

3. Fan ZP, Che YJ, Chen ZY (2017) Product sales forecasting using online reviews and historical sales data: a method combining the Bass model and sentiment analysis. J Bus Res 74:90–100

4. Haviluddin H, Alfred R, Obit JH et al (2015) A performance comparison of statistical and machine learning techniques in learning time series data. Adv Sci Lett 21(10):3037–3041

5. Jiménez F, Sánchez G, García JM et al (2017) Multi-objective evolutionary feature selection for online sales forecasting. Neurocomputing 234(C):75–92

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