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Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach

Research article (Transportation Research Part E Logistics and Transportation Review, 2018) · cited 168× · AI/ML
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Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach

Summary

Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach is a scholarly article[1].

Key Facts

  • Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-the-demand-of-the-aviation-industry-using-hybrid-time-series-sarima-svr-approach
MLA “Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-the-demand-of-the-aviation-industry-using-hybrid-time-series-sarima-svr-approach.
BibTeX @misc{4ortxyz_forecasting-the-demand-of-the-aviation-industry-using-hybrid-time-series-sarima-svr-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-the-demand-of-the-aviation-industry-using-hybrid-time-series-sarima-svr-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach — https://4ort.xyz/entity/forecasting-the-demand-of-the-aviation-industry-using-hybrid-time-series-sarima-svr-approach (retrieved 2026-05-24)

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