Open Access

A Dynamic Export Product Sales Forecasting Model Based on Controllable Relevance Big Data for Cross-Border E-Commerce

   | Jul 14, 2023

Cite

Jong D, Tseng Y, Wang T. (2022). Accessing the Influence of User Relationship Bonds on Continuance Intention in Livestream E-Commerce. Sustainability, 14(10), 5979. Search in Google Scholar

Cuicui, Wang, Yun, et al. (2019). Corrigendum: The Effects of Money on Fake Rating Behavior in E-Commerce: Electrophysiological Time Course Evidence From Consumers. Frontiers in neuroscience, 13, 192. Search in Google Scholar

Dobruszkes F. (2015). A subtle change or a new business model? Investigating low-cost airlines and airports relations in metropolitan areas. Astronomy & Astrophysics, 181(5), 155-168. Search in Google Scholar

Jannach D, Ludewig M, Lerche L. (2017). Session-based item recommendation in e-commerce. User Modeling and User-Adapted Interaction, 27(3), 351-392. Search in Google Scholar

Altig D, Barrero J M, Bloom N, et al. (2022). Surveying business uncertainty. Journal of Econometrics, 231. Search in Google Scholar

Changsoo, Lee, Mikyung. (2018). Accounting of gross exports and tracing foreign values in the global pharmaceutical value chain: Where does Korea stand? Journal of Korea Trade, 348-363. Search in Google Scholar

Bokyeong, Park, Onon, et al. (2017). How Does the Globalization of Firms Affect Corruption in Developing Economies? Journal of Korea Trade, 256-270. Search in Google Scholar

Abe M, Proksch M. (2016). Supporting participation of Asia-Pacific SMEs in global value chains. Journal of Korea Trade, 86-106. Search in Google Scholar

Janssens G K, Verdonck L, Ramaekers K. (2021). Service-oriented performance of inventory models with partial information on unimodal demand lead-time distributions. RAIRO - Operations Research, 55(1), S1207-S1228. Search in Google Scholar

Raices Cruz I, Lindstrm J, Troffaes M C M, et al. (2022). Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis. Computational Statistics & Data Analysis, 176, 107558. Search in Google Scholar

Modarres R. (2022). A high dimensional dissimilarity measure. Computational Statistics & Data Analysis, 175, 107560. Search in Google Scholar

Wu Y, Aziz S M, Haque M H. (2022). Techno-economic modelling for energy cost optimisation of households with electric vehicles and renewable sources under export limits. Renewable Energy, 198, 1254-1266. Search in Google Scholar

Ida T. (2022). Convolution and deconvolutional treatment on sample transparency aberration in Bragg– Brentano geometry. Powder Diffraction, 37(1), 13-21. Search in Google Scholar

Ymq A, Lpm B, Eb A. (2022). Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties. Journal of Integrative Agriculture, 21(5), 1310-1320. Search in Google Scholar

Bruno, M, Cesana, et al. (2019). Predictive models in clinical practice: useful tools to be cautiously used. Minerva Anestesiologica, 85(7), 701-704. Search in Google Scholar

Bagatini, Giasson, Teske. (2015). SELECTION OF SAMPLING DENSITY BASED ON DATA FROM AREAS ALREADY MAPPED FOR TRAINING DECISION TREE MODELS IN DIGITAL SOIL MAPPING. REV BRAS CIENC SOLO, 2015, 39(4), 960-967. Search in Google Scholar

Mi J K, Han S K, Min J L, et al. (2017). Quality predictive models for whole flour of immature wheat during storage and consumer acceptance on its baked product. LWT - Food Science and Technology, 83, 42-49. Search in Google Scholar

Helms D, Eilers R, Metzdorf M, et al. (2017). Leakage Models for High-Level Power Estimation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(8), 1627-1639. Search in Google Scholar

Anastasia, Oikonomou, Pascal, et al. (2019). Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules. Scientific Reports, 9(1), 1-11. Search in Google Scholar

Yangwei, Xiang, Yifeng, et al. (2019). Development and validation of a predictive model for the diagnosis of solid solitary pulmonary nodules using data mining methods. Journal of Thoracic Disease, 11(3), 950. Search in Google Scholar

Basireddy K R, Singh A K, Al-Hashimi B M, et al. (2020). AdaMD: Adaptive Mapping and DVFS for Energy-Efficient Heterogeneous Multicores. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(10), 2206-2217. Search in Google Scholar

Huang Y, Juiming K, Wenshyong H, et al. (2015). Capacity Controllable Location Map Free Reversible Watermarking. Chinese Journal of Electronics, 24(3), 519-523. Search in Google Scholar

Guang, Yao, Min. (2016). Surface step terrace tuned microstructures and dielectric properties of highly epitaxial CaCu3Ti4O12 thin films on vicinal LaAlO3 substrates. Scientific reports, 6(1), 1-11. Search in Google Scholar

Sharghi E, Nourani V, Soleimani S, et al. (2018). Application of different clustering approaches to hydroclimatological catchment regionalization in mountainous regions, a case study in Utah State. Journal of Mountain Science, 15(3), 461-484. Search in Google Scholar

Seok K M, Young A S, Kyoung H T, et al. (2022). 0349 Robust inter-beat interval estimation algorithm using clustering method. SLEEP, 2022(Supplement_1), Supplement_1, A157-A157. Search in Google Scholar

Qin, ZHANG, Guo-qiang, et al. (2018). An anchor-based spectral clustering method. Frontiers of Information Technology & Electronic Engineering, 19(11), 1385-1396. Search in Google Scholar

Kemal, Hakan, Gülkesen, et al. (2019). Research Subjects and Research Trends in Medical Informatics. Methods of Information in Medicine, 58(S 01), e1-e13. Search in Google Scholar

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics