Innovating knowledge and information for a firm-level automobile demand forecast system : a machine learning perspective
Year of publication: |
2023
|
---|---|
Authors: | Kim, Sehoon |
Published in: |
Journal of innovation & knowledge : JIK. - Amsterdam : Elsevier, ISSN 2444-569X, ZDB-ID 2885454-8. - Vol. 8.2023, 2, Art.-No. 100355, p. 1-12
|
Subject: | Automobile demand forecast | Endogenous-exogenous data | Firm-level forecast | Hybrid input | Machine learning prediction | Prediction model comparison | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Nachfrage | Demand | Kfz-Markt | Automotive market | Kfz-Industrie | Automotive industry | Prognose | Forecast |
-
Qian, Lixian, (2015)
-
Forecasting US car sales and car registrations in Japan : rationality, accuracy and herding
Pierdzioch, Christian, (2011)
-
Machine learning applications in household-level demand prediction
Zhao, Shuoli, (2024)
- More ...
-
Revisiting trainee reactions : A multilevel analysis of the nomological network
Kim, Sehoon, (2019)
-
Kim, Sehoon, (2019)
-
Yoo, Sangok, (2021)
- More ...